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Ventilation/Perfusion Relationships and Gas Exchange: Measurement Approaches

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Abstract

Ventilation‐perfusion ( ) matching, the regional matching of the flow of fresh gas to flow of deoxygenated capillary blood, is the most important mechanism affecting the efficiency of pulmonary gas exchange. This article discusses the measurement of matching with three broad classes of techniques: (i) those based in gas exchange, such as the multiple inert gas elimination technique (MIGET); (ii) those derived from imaging techniques such as single‐photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic resonance imaging (MRI), computed tomography (CT), and electrical impedance tomography (EIT); and (iii) fluorescent and radiolabeled microspheres. The focus is on the physiological basis of these techniques that provide quantitative information for research purposes rather than qualitative measurements that are used clinically. The fundamental equations of pulmonary gas exchange are first reviewed to lay the foundation for the gas exchange techniques and some of the imaging applications. The physiological considerations for each of the techniques along with advantages and disadvantages are briefly discussed. © 2020 American Physiological Society. Compr Physiol 10:1155‐1205, 2020.

Figure 1. Figure 1. The relationship between the partial pressure of oxygen and carbon dioxide and V˙A/Q˙ ratio. When the V˙A/Q˙ ratio is low, the partial pressures approach that of mixed venous blood. When the V˙A/Q˙ ratio is high, the partial pressure is close to inspired. Note that there is little change in PO2 when the V˙A/Q˙ ratio is less than 0.1 or greater than 10. Redrawn, with permission, from West JB. 1977 332.
Figure 2. Figure 2. The O2 CO2 diagram. The relationship between oxygen and carbon dioxide partial pressures in alveolar gas or capillary blood. The points along this line are determined by the V˙A/Q˙ ratio. The blue dots indicate mixed venous (0) and inspired (∞) points as well as a normal mean V˙A/Q˙ ratio (1.3) for the lung as a whole. Note the marked curvilinear behavior of the plot. Redrawn, with permission, from Rahn H and Fenn WO. 1955 258.
Figure 3. Figure 3. Respiratory exchange ratio (R) measured at the mouth with a rapid‐response analyzer during a slow exhalation from vital capacity to residual volume. The change in R during a slow exhalation from total lung capacity is described in four phases. First pure dead space gas is cleared, with R indeterminant (Phase I). In Phase II, R rapidly rises as the dead space is mixed with alveolar gas. As the expiration progresses, dead space is cleared further and gas exchange is ongoing throughout the maneuver with oxygen being removed and CO2 being added. R progressively falls (Phase III) since more oxygen is being consumed than carbon dioxide is being produced. The final phase (Phase IV) is a terminal rise associated with dependent airways closure in lung regions that are close to residual volume. Phase III is also characterized by marked cardiogenic oscillations reflecting the effect of the heartbeat on pulmonary blood flow and lung mechanics. Modified, with permission, from Prisk GK, et al. 2003 251.
Figure 4. Figure 4. Intrabreath R and iVQ as a function of lung volume measured at the mouth during a slow exhalation from total lung capacity. The data from Figure 3 showing the change in R during a slow exhalation from total lung capacity are replotted in the top tracing (thin line). Dotted lines represent the modeled R assuming differing V˙A/Q˙ ratios. The thick tracing represents the intrabreath V˙A/Q˙ (iV/Q) derived by interpolating measured R line between the three dotted modeled R lines. Reused, with permission, from Prisk GK, et al. 2003 251.
Figure 5. Figure 5. Determination of iVQ slope as a measure of V˙A/Q˙ heterogeneity. The intrabreath V˙A/Q˙ ratio (iV/Q) obtained by interpolating the measured intrabreath R with the modeled R isopleths from Figure 4 showing the region of Phase III. A line is fitted to the two halves of Phase III by least squares regression (thick line). The slope of the first half of phase three has been shown to correlate with V˙A/Q˙ heterogeneity measured by MIGET and become steeper with methacholine administration 251. The solid vertical bar represents the intrabreath VA/Q, iV/Q range over Phase III, and this is also used as an index of heterogeneity but is only weakly associated with MIGET metrics of heterogeneity. Reused, with permission, from Prisk GK, et al. 2003 251.
Figure 6. Figure 6. Single breath nitrogen washout and Fowler dead space. (a) A schematic drawing of an expirogram showing the change in expired nitrogen measured at the mouth following the inspiration of pure oxygen. Initially, there is no nitrogen, as the previously inspired pure oxygen is cleared (Phase I). There is rapid rise in nitrogen concentration as resident gas partially mixed with oxygen is expired (Phase II). Phase III is a relative plateau in nitrogen, reflecting the mixing of inspired oxygen with resident gas 87,88,89, and the slope of this reflects ventilation heterogeneity 314. Phase IV is a terminal rise in nitrogen concentration again representing dependent airways closure. The red box indicates the portion of the plot represented in (b). (b) A schematic of the expirogram in a normal subject with little Phase III slope. The concentration of nitrogen in the Phase III plateau (top dotted blue line) is used as the concentration of alveolar nitrogen. The area under the curve divided by the volume expired is used as the concentration of mixed expired nitrogen to solve the Bohr equation for dead space. The simplified graphical method uses the straight line along Phase III and a vertical line intersecting Phase II (red line) such that the two areas A and B defined by this are equal. The intersection of the red line with the x‐axis is dead space. This approach is problematic in patients with lung disease because ventilation heterogeneity, which is almost always present, means that there will be a significant upward slope in Phase III and thus difficulty in estimating alveolar nitrogen 88.
Figure 7. Figure 7. Retention of inert gases of differing solubility used in MIGET. Retention, the ratio of arterial concentration to mixed venous concentration of inert gases of differing blood‐gas partition coefficient (λ) in a homogeneous lung without V˙A/Q˙ mismatch a mean V˙A/Q˙ ratio of 1. The plot is constructed by solving Eq. 32 for gases of differing λ. The six gases shown are ones commonly used in MIGET and cover most of the retention curve. Redrawn, with permission, from Hopkins SR and Wagner PD. 2017 160.
Figure 8. Figure 8. Retention of inert gases in lung units of differing V˙A/Q˙ ratio. (A) Individual Inert gas retention curves for a three‐compartment lung with three different V˙A/Q˙ ratios, 0.1, 1.0, and 10. Similar to Figure 7, the plot is constructed by solving Eq. 32 for gases of differing λ, and now, different V˙A/Q˙ ratios. The plot for V˙A/Q˙ ratio of 0.1 and 10 have the same shape as the one for the V˙A/Q˙ ratio of 1 but are displaced a decade higher and lower. Note that when retention is 0.5 (dotted horizontal black line), V˙A/Q˙ = λ (colored arrows) for each curve. (B) A three‐compartment lung with the same V˙A/Q˙ ratios (dashed lines) as in (A) with equal blood flow to each compartment. The composite retention curve for this three‐compartment lung is the flow weighted average of each individual curve (black solid line).
Figure 9. Figure 9. Recovered V˙A/Q˙ distributions from a normal subject (A) and a patient with COPD (B). The normal subject has a smooth and unimodal distribution of V˙A and Q˙ versus V˙A/Q˙ ratio, with a mean slightly greater than 1. There is no shunt (compare to Figure 10) or low or high V˙A/Q˙ regions and by convention the dead space compartment is omitted from the distribution plots. This patient with COPD has a tri‐modal distribution with regions of low V˙A/Q˙ ratio and regions of high V˙A/Q˙ ratio. Again, shunt is absent, and a large shunt is not typically observed in COPD patients. Modified, with permission, from Hopkins SR and Wagner PD. 2017 160 and Wagner PD, et al. 1977 321.
Figure 10. Figure 10. Quantitative data obtained from the MIGET 50‐compartment model. The distribution of ventilation and perfusion are plotted as a function of V˙A/Q˙ ratio. In this case, the distributions are smooth and unimodal with the mean of both distributions close to 1. The width of the distributions represented by the standard deviation on a log scale (LogSD) of the distributions is used as an index of heterogeneity, with LogSDV˙ representing the heterogeneity in the ventilation versus V˙A/Q˙ distribution and LogSDQ˙ in the perfusion versus V˙A/Q˙ distribution. Shunt and dead space are represented as single points at a V˙A/Q˙ ratio less than 0.005 and greater than 100, respectively. Typically, dead space is omitted from these plots because the ventilation to this compartment is so large relative to the other compartments.
Figure 11. Figure 11. Site of particle deposition in the airways by particle size. These complex relationships between particle diameter and site of deposition highlight the importance of the selection of appropriate particle or aerosol size for measurements of alveolar ventilation. Technigas® graphite particles are 0.005 to 0.2 μm 24,303 and thus are an optimum size. Care must be taken to keep nebulized liquids such as 99mTc‐DTPA at an aerosol diameter less than 2 μm 24. Aerosolized fluorescent microspheres used in destructive tissue techniques are approximately 1 μm 11. Adapted, with permission from Tsuda A, et al. 2013 311.
Figure 12. Figure 12. SPECT measurement of V˙A/Q˙. Dual‐isotope SPECT with 133mIn‐MAA albumin was used to measure perfusion (top) and Technegas® to measure ventilation (bottom). Data were acquired on a SPECT CT system, which allows for attenuation correction, and the underlying CT image can be seen in gray surrounding the colored lung field. The left‐hand images are the axial projection, the center images are coronal and right‐hand ones sagittal. The color scale represents relative intensity (i.e., ventilation or perfusion). Reused, with permission, from Petersson J, et al. 2007 242.
Figure 13. Figure 13. 13N‐Nitrogen tracer kinetics. (A) Washout of 13N‐Nitrogen plotted on a log scale showing activity versus time in a voxel exhibiting uniform behavior modeled and as a single compartment. The compound is injected during an apnea, and the tracer is delivered to the alveolus in proportion to regional blood flow thus the plateau in activity at the time of the first appearance, is proportional to regional perfusion in the voxel. Then, as the subject begins breathing, the tracer in the alveolus will washout proportional to regional specific ventilation (SV˙) and the slope of the washout is equal to 1/SV˙. The area under the curve (light blue) is proportional to the ratio of perfusion/specific ventilation Q˙/SV˙. (B) Washout of 13N‐Nitrogen plotted on a log scale showing activity versus time in a voxel exhibiting two‐compartment behavior, with compartment one having high specific ventilation (rapidly clearing) and compartment 2 having low specific ventilation. During washout, compartment 1 clears tracer rapidly and the initial slope (slope 1) of the activity versus time plot is quite steep. The total blood flow in the voxel (Q˙1 + Q˙2) is again reflected in the plateau but is apportioned between the two compartments based on the back extrapolated point to the onset of the second compartment washout. The Q˙/SV˙ is distributed for compartment 1 as shown in light blue and for compartment 2 as shown in gray. Adapted, with permission, from Vidal Melo MF, et al. 2003 317.
Figure 14. Figure 14. Example axial images from a 13N Nitrogen PET animal study (sheep) in a normal animal and in one representative animal after each of pulmonary embolism, saline lung lavage, and bronchoconstriction. Slices in each condition are arranged from apical to basal. The animals are prone in all except the lung lavage condition. In the first column, regional perfusion images are shown representing activity during the apnea portion of the data collection for each condition. Regions of reduced perfusion (dark areas) are seen in the pulmonary embolism and lung lavage conditions. The second column shows images obtained at the end of the washout lung images. Note higher tracer activity in the lung lavage and bronchoconstriction conditions. The third column shows the time‐activity plots for each condition. The peak occurring early, followed by a plateau indicates the presence of significant intrapulmonary shunt in the lung lavage condition. Reprinted, with permission, from Vidal Melo MF, et al. 2003 317.
Figure 15. Figure 15. The basic magnetic resonance experiment. (A) In the presence of a strong magnetic field (B0) protons show a net alignment of their magnetic moments (M0) along the axis of B0, with the magnitude of M0 proportional to the local proton density. (B) With a radiofrequency (RF) excitation pulse, the protons are tipped out of their alignment in a plane perpendicular to the static magnetic field, with the flip angle (α) describing the extent to which the net magnetization is tipped relative to B0. (C) This new alignment of the protons has a longitudinal component (ML) and a transverse component (MT), in red. The precession of the transverse component along the axis of B0 creates a signal which can be detected. (D) Immediately after the excitation pulse, protons gradually relax to their equilibrium alignment (M0) and the transverse magnetization decays, and the longitudinal magnetization is recovered with two separate time constants: T1 is the time constant for recovery of longitudinal magnetization and T2, the time constant for the decay of transverse magnetization. Adapted, with permission, from Buxton RB. 2009 47.
Figure 16. Figure 16. The basis of the specific ventilation imaging experiment. Top: Schematic depiction of specific ventilation of two lung units. The unit on the right has a large change in volume, ΔV, during inspiration compared to V0, the end‐expiratory (local FRC) volume of the unit, and thus a high specific ventilation, SV, defined as the ratio ΔV/V0. The unit on the right has a relatively low specific ventilation. Bottom: Since the change in volume is large relative to the resting volume in the high specific ventilation unit the initial concentration of oxygen C0, at end expiration rises rapidly when the subject breathes 100% oxygen. The high specific ventilation unit equilibrates faster (continuous line, SV = 0.8) than the lower specific ventilation unit (dashed line, SV = 0.2). Reused, with permission, from Sa RC, et al. 2010 283.
Figure 17. Figure 17. Time series of signal intensity for a single voxel during a specific ventilation experiment. When the subject changes from breathing air to oxygen, the T1 is shortened and the signal intensity increases. The dashed line change indicates the change in FIO2, termed the driving function. Units with higher specific ventilation equilibrate faster; thus, signal intensity more closely follows the driving function than for units with lower specific ventilation. The time required for the signal to reach a new equilibrium is the rise time and is measured as the time delay which maximizes the correlation of the time course of the signal from each voxel with the driving function (after accounting for delay in delivering the new FIO2 to the mouth. The correlation delay for each voxel is converted to specific ventilation based on modeling voxels of differing specific ventilation. Reused, with permission, from Sa RC, et al. 2010 283.
Figure 18. Figure 18. Regional measurement of fractional ventilation measured with MRI using hyperpolarized 3Helium in a coronal slice of a healthy rat lung. Fractional ventilation, r, represents the delivery of fresh gas divided by the resident gas at the end of inspiration (specific ventilation is the delivery of fresh gas divided by resident gas at end expiration). (A) Quantified image. The trachea and large conducting airways can be seen as regions of high r. (B) Histogram of the resultant r values, showing a bimodal distribution showing a main mode of normal lung parenchyma on the left and a second high r mode representing trachea and conducting airways on the right. Reused, with permission, from Hopkins SR, et al. 2007 156.
Figure 19. Figure 19. Signal intensity in a normal volunteer within a region of interest in lung parenchyma following bolus injection of contrast during dynamic contrast‐enhanced MR imaging of pulmonary perfusion. After a transit delay, a sharp rise in signal intensity is followed by rapid washout. The late peak reflects recirculation of indicators into the region of interest. After gamma‐variate fitting, the first moment of the curve represents mean transit time, and area under the curve represents blood volume of the region of interest. Reused, with permission, from Hopkins SR, et al. 2007 156.
Figure 20. Figure 20. An example of arterial spin labeling (ASL) in a coronal slice of lung in a healthy human. The sequence used to acquire data is ASL‐FAIRER (flow sensitive alternating inversion recovery). Two EKG gated images are acquired approximately 5 s apart. (A) A 180° selective inversion radiofrequency pulse is applied in diastole to the desired slice of lung. After waiting for a complete systolic ejection of blood the image is acquired, and protons from outside the slice that have not seen the 180° inversion pulse and enters the slice fully relaxed giving strong signal. (B) The nonselective inversion image is acquired after the 180° inversion pulse is applied to the entire torso and the magnetization of arterial blood outside the slice is recovering from the inversion pulse and the signal is very low. (C) The subtraction of the selective and nonselective inversion images yields a map of the amount of blood delivered to each voxel during the delay time between the inversion pulse and image acquisition, as stationary structures such as the spine, liver, etc. subtract out. Reprinted, with permission, from Hopkins SR and Levin DL. 2006 155.
Figure 21. Figure 21. Example images of density (A), alveolar ventilation (B), perfusion (C), and ventilation‐perfusion ratio (D) in a sagittal slice of the right lung in a normal subject in the supine posture. Images are also shown for the prone posture (E–H, respectively). Images representing regional specific ventilation (not shown) are combined with proton density to get regional alveolar ventilation. Voxels contained within larger, conduit, blood vessels, and voxels that correlate perfectly with the driving function in specific ventilation (representing large airways) are removed as they are not part of gas exchange and are seen as dark tubular structures in the three right‐hand columns of images. The resultant ventilation image is combined with the perfusion image to give an image of regional ventilation‐perfusion ratio. Note the gravitational gradients in all images. Reused, with permission, from Henderson AC, et al. 2013 135.
Figure 22. Figure 22. (A) The relationship between gas partial pressure and V˙A/Q˙ ratio for respiratory gases and Sulphur Hexafluoride (SF6) for a mammalian lung. The relationship between oxygen and carbon dioxide was also shown previously in Figure 1. In lung units where the V˙A/Q˙ ratio is high, since SF6 is insoluble in blood, comparatively little oxygen is transferred out of the alveolus and the SF6 concentration is stable. In lung units with low V˙A/Q˙ ratio, as the oxygen partial pressure falls the insoluble SF6 (λ ∼ 0.005) remains behind in the alveolar space. (B) The relationship between SF6 partial pressure and T1. As the concentration of SF6 increases, T1 becomes longer. (C) The relationship between the T1 for SF6 and V˙A/Q˙ ratio. Data are for an inhaled gas mixture of 30% SF6/70% O2 and an ambient barometric pressure of 626 mmHg (Albuquerque, NM, elevation 1600 m). Reused, with permission, from Kuethe DO, et al. 1998 190.
Figure 23. Figure 23. Mass attenuation coefficient, as a function of energy for different materials. The mass attenuation coefficient is the fraction of a beam of photons that are absorbed per unit volume of the absorbing tissue or material (called the linear attenuation coefficient, μ), divided by density of the tissue, ρ. The sudden change in the iodine curve reflects the K‐edge. the K‐edge denotes the point at which the photon energy matches the binding energy of the K‐shell electron of the atom. At the K‐edge, there is a sudden increase in attenuation due to photoelectric absorption of the photons, thus changing the ability of the photon to penetrate iodine. Green Shading indicates CT energy range. Reprinted, with permission, Xia T, et al. 2014 345.
Figure 24. Figure 24. Computed tomography enhancement [ΔCT] measured in Hounsfield Units (HU) induced by differing concentrations of xenon in air at 80 and 120 kV, showing a linear relationship between xenon concentration and the change in attenuation. Reused, with permission, from Marcucci C, et al. 2001 212.
Figure 25. Figure 25. Regional pulmonary blood volume (PBV) measured after an injection of iodinated contrast by dual‐energy source dual detector CT. The configuration of dual‐energy computed tomography (DECT) uses 80‐ and 140‐kVp energies, with detectors 95° apart to acquire contrast‐enhanced CT images at the two energies, (A). A test bolus of contrast is injected to determine the time delay and Axial CT images are acquired (Ba). A region of interest is located in the left atrium (red circle) and a time versus contrast density curve (Bb) is constructed to establish a delay time, the time between the start of the injection and time it takes the contrast density to reach 100 Hounsfield units (HU) (vertical line in the Bb). The delay time accounts for the difference between the start of contrast injection and the start of the DECT acquisition. Images derived from DECT at 80‐ and 140‐kVp are used to calculate PBV maps (C). (D) Global and regional PBV analysis, showing lung mask outlining only the lung parenchyma. Large vessels and airways are excluded. Data were acquired before and after the administration of sildenafil, a potent pulmonary vasodilator (E). To evaluate changes, images are registered by warping the 140‐kVp images post sildenafil images to pre sildenafil to evaluate heterogeneity (coefficients of variation, CV, also known as relative dispersion) before and after sildenafil. Reprinted, with permission, from Iyer KS, et al. 2016 166.
Figure 26. Figure 26. Images of pulmonary blood volume (PBV), calculated from three‐material decomposition of the iodine contrast‐enhancement signal and pulmonary blood flow (PBF) measured with four‐dimensional (dynamic) electrocardiographically gated axial CT. Data are from a pig model evaluated at five different levels of airway pressure. Top row grayscale images, middle row pulmonary blood volume, bottom row, pulmonary blood flow. Color scale indicates with lower values in blue and higher values in red. There is close agreement between blood volume and blood flow. Reprinted, with permission, from Fuld MK, et al. 2013 95.
Figure 27. Figure 27. Model of tracer gas delivery and loss for a voxel of lung. With inhalation of the tracer, the concentration is determined by the concentration in inspired gas, the concentration in expired gas, the amount of tracer that diffuses out of the voxel across the alveolar wall, and the amount that recirculates in mixed venous blood. V˙, ventilation; Q˙, perfusion; CI, inspired concentration; CA, alveolar concentration Ccap, end‐capillary blood concentration; CV, pulmonary mixed venous blood concentration; t, time. Reused, with permission, from Kreck TC, et al. 2001 188.
Figure 28. Figure 28. Schematic diagram of an EIT acquisition. Current (I) is applied between adjacent surface electrodes (in this case 15 and 16), and the voltages (U) are measured between the remaining pairs, in this case 5 and 6. It should be noted that in this instance, electrode pairs 1 and 2 and 13 and 14, will have the greatest sensitivity to monitor the resultant voltage. Reused, with permission, from Frerichs I, et al. 2001 91.
Figure 29. Figure 29. Electrical impedance tomography (EIT) data obtained from the dorsal region of the dependent (A) and nondependent lungs (B) in a single subject. The relative impedance (rel. ΔZ) changes due to ventilation are greater than those associated with heartbeat which are seen during apnea. Changes in rel. ΔZ during breathing are great in the dependent than in the nondependent lung consistent with the gravitational gradient in regional specific ventilation 283. The decrease in EIT signal during breath holding is consistent with loss of gas volume consistent with ongoing gas exchange in the presence of a RER less than 1, such that less CO2 is produced than O2 is taken up. Reused, with permission, from Frerichs I, et al. 2017 90.
Figure 30. Figure 30. Regional ventilation and perfusion measured with fluorescent microspheres in a pig. View is looking at the anterior surface of the lung, and the cardiac fossa is visible as the indented region in the upper portion of the lung fields. The color scale indicates ventilation or perfusion in ml/min/mg of dried lung. Reprinted, with permission, from Altemeier WA, et al. 2000 9.


Figure 1. The relationship between the partial pressure of oxygen and carbon dioxide and V˙A/Q˙ ratio. When the V˙A/Q˙ ratio is low, the partial pressures approach that of mixed venous blood. When the V˙A/Q˙ ratio is high, the partial pressure is close to inspired. Note that there is little change in PO2 when the V˙A/Q˙ ratio is less than 0.1 or greater than 10. Redrawn, with permission, from West JB. 1977 332.


Figure 2. The O2 CO2 diagram. The relationship between oxygen and carbon dioxide partial pressures in alveolar gas or capillary blood. The points along this line are determined by the V˙A/Q˙ ratio. The blue dots indicate mixed venous (0) and inspired (∞) points as well as a normal mean V˙A/Q˙ ratio (1.3) for the lung as a whole. Note the marked curvilinear behavior of the plot. Redrawn, with permission, from Rahn H and Fenn WO. 1955 258.


Figure 3. Respiratory exchange ratio (R) measured at the mouth with a rapid‐response analyzer during a slow exhalation from vital capacity to residual volume. The change in R during a slow exhalation from total lung capacity is described in four phases. First pure dead space gas is cleared, with R indeterminant (Phase I). In Phase II, R rapidly rises as the dead space is mixed with alveolar gas. As the expiration progresses, dead space is cleared further and gas exchange is ongoing throughout the maneuver with oxygen being removed and CO2 being added. R progressively falls (Phase III) since more oxygen is being consumed than carbon dioxide is being produced. The final phase (Phase IV) is a terminal rise associated with dependent airways closure in lung regions that are close to residual volume. Phase III is also characterized by marked cardiogenic oscillations reflecting the effect of the heartbeat on pulmonary blood flow and lung mechanics. Modified, with permission, from Prisk GK, et al. 2003 251.


Figure 4. Intrabreath R and iVQ as a function of lung volume measured at the mouth during a slow exhalation from total lung capacity. The data from Figure 3 showing the change in R during a slow exhalation from total lung capacity are replotted in the top tracing (thin line). Dotted lines represent the modeled R assuming differing V˙A/Q˙ ratios. The thick tracing represents the intrabreath V˙A/Q˙ (iV/Q) derived by interpolating measured R line between the three dotted modeled R lines. Reused, with permission, from Prisk GK, et al. 2003 251.


Figure 5. Determination of iVQ slope as a measure of V˙A/Q˙ heterogeneity. The intrabreath V˙A/Q˙ ratio (iV/Q) obtained by interpolating the measured intrabreath R with the modeled R isopleths from Figure 4 showing the region of Phase III. A line is fitted to the two halves of Phase III by least squares regression (thick line). The slope of the first half of phase three has been shown to correlate with V˙A/Q˙ heterogeneity measured by MIGET and become steeper with methacholine administration 251. The solid vertical bar represents the intrabreath VA/Q, iV/Q range over Phase III, and this is also used as an index of heterogeneity but is only weakly associated with MIGET metrics of heterogeneity. Reused, with permission, from Prisk GK, et al. 2003 251.


Figure 6. Single breath nitrogen washout and Fowler dead space. (a) A schematic drawing of an expirogram showing the change in expired nitrogen measured at the mouth following the inspiration of pure oxygen. Initially, there is no nitrogen, as the previously inspired pure oxygen is cleared (Phase I). There is rapid rise in nitrogen concentration as resident gas partially mixed with oxygen is expired (Phase II). Phase III is a relative plateau in nitrogen, reflecting the mixing of inspired oxygen with resident gas 87,88,89, and the slope of this reflects ventilation heterogeneity 314. Phase IV is a terminal rise in nitrogen concentration again representing dependent airways closure. The red box indicates the portion of the plot represented in (b). (b) A schematic of the expirogram in a normal subject with little Phase III slope. The concentration of nitrogen in the Phase III plateau (top dotted blue line) is used as the concentration of alveolar nitrogen. The area under the curve divided by the volume expired is used as the concentration of mixed expired nitrogen to solve the Bohr equation for dead space. The simplified graphical method uses the straight line along Phase III and a vertical line intersecting Phase II (red line) such that the two areas A and B defined by this are equal. The intersection of the red line with the x‐axis is dead space. This approach is problematic in patients with lung disease because ventilation heterogeneity, which is almost always present, means that there will be a significant upward slope in Phase III and thus difficulty in estimating alveolar nitrogen 88.


Figure 7. Retention of inert gases of differing solubility used in MIGET. Retention, the ratio of arterial concentration to mixed venous concentration of inert gases of differing blood‐gas partition coefficient (λ) in a homogeneous lung without V˙A/Q˙ mismatch a mean V˙A/Q˙ ratio of 1. The plot is constructed by solving Eq. 32 for gases of differing λ. The six gases shown are ones commonly used in MIGET and cover most of the retention curve. Redrawn, with permission, from Hopkins SR and Wagner PD. 2017 160.


Figure 8. Retention of inert gases in lung units of differing V˙A/Q˙ ratio. (A) Individual Inert gas retention curves for a three‐compartment lung with three different V˙A/Q˙ ratios, 0.1, 1.0, and 10. Similar to Figure 7, the plot is constructed by solving Eq. 32 for gases of differing λ, and now, different V˙A/Q˙ ratios. The plot for V˙A/Q˙ ratio of 0.1 and 10 have the same shape as the one for the V˙A/Q˙ ratio of 1 but are displaced a decade higher and lower. Note that when retention is 0.5 (dotted horizontal black line), V˙A/Q˙ = λ (colored arrows) for each curve. (B) A three‐compartment lung with the same V˙A/Q˙ ratios (dashed lines) as in (A) with equal blood flow to each compartment. The composite retention curve for this three‐compartment lung is the flow weighted average of each individual curve (black solid line).


Figure 9. Recovered V˙A/Q˙ distributions from a normal subject (A) and a patient with COPD (B). The normal subject has a smooth and unimodal distribution of V˙A and Q˙ versus V˙A/Q˙ ratio, with a mean slightly greater than 1. There is no shunt (compare to Figure 10) or low or high V˙A/Q˙ regions and by convention the dead space compartment is omitted from the distribution plots. This patient with COPD has a tri‐modal distribution with regions of low V˙A/Q˙ ratio and regions of high V˙A/Q˙ ratio. Again, shunt is absent, and a large shunt is not typically observed in COPD patients. Modified, with permission, from Hopkins SR and Wagner PD. 2017 160 and Wagner PD, et al. 1977 321.


Figure 10. Quantitative data obtained from the MIGET 50‐compartment model. The distribution of ventilation and perfusion are plotted as a function of V˙A/Q˙ ratio. In this case, the distributions are smooth and unimodal with the mean of both distributions close to 1. The width of the distributions represented by the standard deviation on a log scale (LogSD) of the distributions is used as an index of heterogeneity, with LogSDV˙ representing the heterogeneity in the ventilation versus V˙A/Q˙ distribution and LogSDQ˙ in the perfusion versus V˙A/Q˙ distribution. Shunt and dead space are represented as single points at a V˙A/Q˙ ratio less than 0.005 and greater than 100, respectively. Typically, dead space is omitted from these plots because the ventilation to this compartment is so large relative to the other compartments.


Figure 11. Site of particle deposition in the airways by particle size. These complex relationships between particle diameter and site of deposition highlight the importance of the selection of appropriate particle or aerosol size for measurements of alveolar ventilation. Technigas® graphite particles are 0.005 to 0.2 μm 24,303 and thus are an optimum size. Care must be taken to keep nebulized liquids such as 99mTc‐DTPA at an aerosol diameter less than 2 μm 24. Aerosolized fluorescent microspheres used in destructive tissue techniques are approximately 1 μm 11. Adapted, with permission from Tsuda A, et al. 2013 311.


Figure 12. SPECT measurement of V˙A/Q˙. Dual‐isotope SPECT with 133mIn‐MAA albumin was used to measure perfusion (top) and Technegas® to measure ventilation (bottom). Data were acquired on a SPECT CT system, which allows for attenuation correction, and the underlying CT image can be seen in gray surrounding the colored lung field. The left‐hand images are the axial projection, the center images are coronal and right‐hand ones sagittal. The color scale represents relative intensity (i.e., ventilation or perfusion). Reused, with permission, from Petersson J, et al. 2007 242.


Figure 13. 13N‐Nitrogen tracer kinetics. (A) Washout of 13N‐Nitrogen plotted on a log scale showing activity versus time in a voxel exhibiting uniform behavior modeled and as a single compartment. The compound is injected during an apnea, and the tracer is delivered to the alveolus in proportion to regional blood flow thus the plateau in activity at the time of the first appearance, is proportional to regional perfusion in the voxel. Then, as the subject begins breathing, the tracer in the alveolus will washout proportional to regional specific ventilation (SV˙) and the slope of the washout is equal to 1/SV˙. The area under the curve (light blue) is proportional to the ratio of perfusion/specific ventilation Q˙/SV˙. (B) Washout of 13N‐Nitrogen plotted on a log scale showing activity versus time in a voxel exhibiting two‐compartment behavior, with compartment one having high specific ventilation (rapidly clearing) and compartment 2 having low specific ventilation. During washout, compartment 1 clears tracer rapidly and the initial slope (slope 1) of the activity versus time plot is quite steep. The total blood flow in the voxel (Q˙1 + Q˙2) is again reflected in the plateau but is apportioned between the two compartments based on the back extrapolated point to the onset of the second compartment washout. The Q˙/SV˙ is distributed for compartment 1 as shown in light blue and for compartment 2 as shown in gray. Adapted, with permission, from Vidal Melo MF, et al. 2003 317.


Figure 14. Example axial images from a 13N Nitrogen PET animal study (sheep) in a normal animal and in one representative animal after each of pulmonary embolism, saline lung lavage, and bronchoconstriction. Slices in each condition are arranged from apical to basal. The animals are prone in all except the lung lavage condition. In the first column, regional perfusion images are shown representing activity during the apnea portion of the data collection for each condition. Regions of reduced perfusion (dark areas) are seen in the pulmonary embolism and lung lavage conditions. The second column shows images obtained at the end of the washout lung images. Note higher tracer activity in the lung lavage and bronchoconstriction conditions. The third column shows the time‐activity plots for each condition. The peak occurring early, followed by a plateau indicates the presence of significant intrapulmonary shunt in the lung lavage condition. Reprinted, with permission, from Vidal Melo MF, et al. 2003 317.


Figure 15. The basic magnetic resonance experiment. (A) In the presence of a strong magnetic field (B0) protons show a net alignment of their magnetic moments (M0) along the axis of B0, with the magnitude of M0 proportional to the local proton density. (B) With a radiofrequency (RF) excitation pulse, the protons are tipped out of their alignment in a plane perpendicular to the static magnetic field, with the flip angle (α) describing the extent to which the net magnetization is tipped relative to B0. (C) This new alignment of the protons has a longitudinal component (ML) and a transverse component (MT), in red. The precession of the transverse component along the axis of B0 creates a signal which can be detected. (D) Immediately after the excitation pulse, protons gradually relax to their equilibrium alignment (M0) and the transverse magnetization decays, and the longitudinal magnetization is recovered with two separate time constants: T1 is the time constant for recovery of longitudinal magnetization and T2, the time constant for the decay of transverse magnetization. Adapted, with permission, from Buxton RB. 2009 47.


Figure 16. The basis of the specific ventilation imaging experiment. Top: Schematic depiction of specific ventilation of two lung units. The unit on the right has a large change in volume, ΔV, during inspiration compared to V0, the end‐expiratory (local FRC) volume of the unit, and thus a high specific ventilation, SV, defined as the ratio ΔV/V0. The unit on the right has a relatively low specific ventilation. Bottom: Since the change in volume is large relative to the resting volume in the high specific ventilation unit the initial concentration of oxygen C0, at end expiration rises rapidly when the subject breathes 100% oxygen. The high specific ventilation unit equilibrates faster (continuous line, SV = 0.8) than the lower specific ventilation unit (dashed line, SV = 0.2). Reused, with permission, from Sa RC, et al. 2010 283.


Figure 17. Time series of signal intensity for a single voxel during a specific ventilation experiment. When the subject changes from breathing air to oxygen, the T1 is shortened and the signal intensity increases. The dashed line change indicates the change in FIO2, termed the driving function. Units with higher specific ventilation equilibrate faster; thus, signal intensity more closely follows the driving function than for units with lower specific ventilation. The time required for the signal to reach a new equilibrium is the rise time and is measured as the time delay which maximizes the correlation of the time course of the signal from each voxel with the driving function (after accounting for delay in delivering the new FIO2 to the mouth. The correlation delay for each voxel is converted to specific ventilation based on modeling voxels of differing specific ventilation. Reused, with permission, from Sa RC, et al. 2010 283.


Figure 18. Regional measurement of fractional ventilation measured with MRI using hyperpolarized 3Helium in a coronal slice of a healthy rat lung. Fractional ventilation, r, represents the delivery of fresh gas divided by the resident gas at the end of inspiration (specific ventilation is the delivery of fresh gas divided by resident gas at end expiration). (A) Quantified image. The trachea and large conducting airways can be seen as regions of high r. (B) Histogram of the resultant r values, showing a bimodal distribution showing a main mode of normal lung parenchyma on the left and a second high r mode representing trachea and conducting airways on the right. Reused, with permission, from Hopkins SR, et al. 2007 156.


Figure 19. Signal intensity in a normal volunteer within a region of interest in lung parenchyma following bolus injection of contrast during dynamic contrast‐enhanced MR imaging of pulmonary perfusion. After a transit delay, a sharp rise in signal intensity is followed by rapid washout. The late peak reflects recirculation of indicators into the region of interest. After gamma‐variate fitting, the first moment of the curve represents mean transit time, and area under the curve represents blood volume of the region of interest. Reused, with permission, from Hopkins SR, et al. 2007 156.


Figure 20. An example of arterial spin labeling (ASL) in a coronal slice of lung in a healthy human. The sequence used to acquire data is ASL‐FAIRER (flow sensitive alternating inversion recovery). Two EKG gated images are acquired approximately 5 s apart. (A) A 180° selective inversion radiofrequency pulse is applied in diastole to the desired slice of lung. After waiting for a complete systolic ejection of blood the image is acquired, and protons from outside the slice that have not seen the 180° inversion pulse and enters the slice fully relaxed giving strong signal. (B) The nonselective inversion image is acquired after the 180° inversion pulse is applied to the entire torso and the magnetization of arterial blood outside the slice is recovering from the inversion pulse and the signal is very low. (C) The subtraction of the selective and nonselective inversion images yields a map of the amount of blood delivered to each voxel during the delay time between the inversion pulse and image acquisition, as stationary structures such as the spine, liver, etc. subtract out. Reprinted, with permission, from Hopkins SR and Levin DL. 2006 155.


Figure 21. Example images of density (A), alveolar ventilation (B), perfusion (C), and ventilation‐perfusion ratio (D) in a sagittal slice of the right lung in a normal subject in the supine posture. Images are also shown for the prone posture (E–H, respectively). Images representing regional specific ventilation (not shown) are combined with proton density to get regional alveolar ventilation. Voxels contained within larger, conduit, blood vessels, and voxels that correlate perfectly with the driving function in specific ventilation (representing large airways) are removed as they are not part of gas exchange and are seen as dark tubular structures in the three right‐hand columns of images. The resultant ventilation image is combined with the perfusion image to give an image of regional ventilation‐perfusion ratio. Note the gravitational gradients in all images. Reused, with permission, from Henderson AC, et al. 2013 135.


Figure 22. (A) The relationship between gas partial pressure and V˙A/Q˙ ratio for respiratory gases and Sulphur Hexafluoride (SF6) for a mammalian lung. The relationship between oxygen and carbon dioxide was also shown previously in Figure 1. In lung units where the V˙A/Q˙ ratio is high, since SF6 is insoluble in blood, comparatively little oxygen is transferred out of the alveolus and the SF6 concentration is stable. In lung units with low V˙A/Q˙ ratio, as the oxygen partial pressure falls the insoluble SF6 (λ ∼ 0.005) remains behind in the alveolar space. (B) The relationship between SF6 partial pressure and T1. As the concentration of SF6 increases, T1 becomes longer. (C) The relationship between the T1 for SF6 and V˙A/Q˙ ratio. Data are for an inhaled gas mixture of 30% SF6/70% O2 and an ambient barometric pressure of 626 mmHg (Albuquerque, NM, elevation 1600 m). Reused, with permission, from Kuethe DO, et al. 1998 190.


Figure 23. Mass attenuation coefficient, as a function of energy for different materials. The mass attenuation coefficient is the fraction of a beam of photons that are absorbed per unit volume of the absorbing tissue or material (called the linear attenuation coefficient, μ), divided by density of the tissue, ρ. The sudden change in the iodine curve reflects the K‐edge. the K‐edge denotes the point at which the photon energy matches the binding energy of the K‐shell electron of the atom. At the K‐edge, there is a sudden increase in attenuation due to photoelectric absorption of the photons, thus changing the ability of the photon to penetrate iodine. Green Shading indicates CT energy range. Reprinted, with permission, Xia T, et al. 2014 345.


Figure 24. Computed tomography enhancement [ΔCT] measured in Hounsfield Units (HU) induced by differing concentrations of xenon in air at 80 and 120 kV, showing a linear relationship between xenon concentration and the change in attenuation. Reused, with permission, from Marcucci C, et al. 2001 212.


Figure 25. Regional pulmonary blood volume (PBV) measured after an injection of iodinated contrast by dual‐energy source dual detector CT. The configuration of dual‐energy computed tomography (DECT) uses 80‐ and 140‐kVp energies, with detectors 95° apart to acquire contrast‐enhanced CT images at the two energies, (A). A test bolus of contrast is injected to determine the time delay and Axial CT images are acquired (Ba). A region of interest is located in the left atrium (red circle) and a time versus contrast density curve (Bb) is constructed to establish a delay time, the time between the start of the injection and time it takes the contrast density to reach 100 Hounsfield units (HU) (vertical line in the Bb). The delay time accounts for the difference between the start of contrast injection and the start of the DECT acquisition. Images derived from DECT at 80‐ and 140‐kVp are used to calculate PBV maps (C). (D) Global and regional PBV analysis, showing lung mask outlining only the lung parenchyma. Large vessels and airways are excluded. Data were acquired before and after the administration of sildenafil, a potent pulmonary vasodilator (E). To evaluate changes, images are registered by warping the 140‐kVp images post sildenafil images to pre sildenafil to evaluate heterogeneity (coefficients of variation, CV, also known as relative dispersion) before and after sildenafil. Reprinted, with permission, from Iyer KS, et al. 2016 166.


Figure 26. Images of pulmonary blood volume (PBV), calculated from three‐material decomposition of the iodine contrast‐enhancement signal and pulmonary blood flow (PBF) measured with four‐dimensional (dynamic) electrocardiographically gated axial CT. Data are from a pig model evaluated at five different levels of airway pressure. Top row grayscale images, middle row pulmonary blood volume, bottom row, pulmonary blood flow. Color scale indicates with lower values in blue and higher values in red. There is close agreement between blood volume and blood flow. Reprinted, with permission, from Fuld MK, et al. 2013 95.


Figure 27. Model of tracer gas delivery and loss for a voxel of lung. With inhalation of the tracer, the concentration is determined by the concentration in inspired gas, the concentration in expired gas, the amount of tracer that diffuses out of the voxel across the alveolar wall, and the amount that recirculates in mixed venous blood. V˙, ventilation; Q˙, perfusion; CI, inspired concentration; CA, alveolar concentration Ccap, end‐capillary blood concentration; CV, pulmonary mixed venous blood concentration; t, time. Reused, with permission, from Kreck TC, et al. 2001 188.


Figure 28. Schematic diagram of an EIT acquisition. Current (I) is applied between adjacent surface electrodes (in this case 15 and 16), and the voltages (U) are measured between the remaining pairs, in this case 5 and 6. It should be noted that in this instance, electrode pairs 1 and 2 and 13 and 14, will have the greatest sensitivity to monitor the resultant voltage. Reused, with permission, from Frerichs I, et al. 2001 91.


Figure 29. Electrical impedance tomography (EIT) data obtained from the dorsal region of the dependent (A) and nondependent lungs (B) in a single subject. The relative impedance (rel. ΔZ) changes due to ventilation are greater than those associated with heartbeat which are seen during apnea. Changes in rel. ΔZ during breathing are great in the dependent than in the nondependent lung consistent with the gravitational gradient in regional specific ventilation 283. The decrease in EIT signal during breath holding is consistent with loss of gas volume consistent with ongoing gas exchange in the presence of a RER less than 1, such that less CO2 is produced than O2 is taken up. Reused, with permission, from Frerichs I, et al. 2017 90.


Figure 30. Regional ventilation and perfusion measured with fluorescent microspheres in a pig. View is looking at the anterior surface of the lung, and the cardiac fossa is visible as the indented region in the upper portion of the lung fields. The color scale indicates ventilation or perfusion in ml/min/mg of dried lung. Reprinted, with permission, from Altemeier WA, et al. 2000 9.
References
 1.Adler A, Amyot R, Guardo R, Bates JH, Berthiaume Y. Monitoring changes in lung air and liquid volumes with electrical impedance tomography. J Appl Physiol (1985) 83: 1762‐1767, 1997.
 2.Adler A, Gaburro R, Lionheart W. Electrical impedance tomography. In: Scherzer O, editor. Handbook of Mathematical Methods in Imaging. New York, New York: Springer, 2011, p. 599‐654.
 3.Adolphi NL, Kuethe DO. Quantitative mapping of ventilation‐perfusion ratios in lungs by 19F MR imaging of T1 of inert fluorinated gases. Magn Reson Med 59: 739‐746, 2008.
 4.Agusti AG, Roca J, Gea J, Wagner PD, Xaubet A, Rodriguez‐Roisin R. Mechanisms of gas‐exchange impairment in idiopathic pulmonary fibrosis. Am Rev Respir Dis 143: 219‐225, 1991.
 5.Albert M, Cates G, Driehuys B, Happer W, Saam B, Springer C Jr, Wishnia A. Biological magnetic resonance imaging using laser‐polarized 129Xe. Nature 370: 199, 1994.
 6.Alford SK, van Beek EJ, McLennan G, Hoffman EA. Heterogeneity of pulmonary perfusion as a mechanistic image‐based phenotype in emphysema susceptible smokers. Proc Natl Acad Sci U S A 107: 7485‐7490, 2010.
 7.Almquist H, Jonson B, Palmer J, Valind S, Wollmer P. Regional VA/Q ratios in man using 133Xe and single photon emission computed tomography (SPECT) corrected for attenuation. Clin Physiol 19: 475‐481, 1999.
 8.Almquist HM, Palmer J, Jonson B, Wollmer P. Pulmonary perfusion and density gradients in healthy volunteers. J Nucl Med 38: 962‐966, 1997.
 9.Altemeier WA, McKinney S, Glenny RW. Fractal nature of regional ventilation distribution. J Appl Physiol (1985) 88: 1551‐1557, 2000.
 10.Altemeier WA, McKinney S, Krueger M, Glenny RW. Effect of posture on regional gas exchange in pigs. J Appl Physiol (1985) 97: 2104‐2111, 2004.
 11.Altemeier WA, Robertson HT, Glenny RW. Pulmonary gas‐exchange analysis by using simultaneous deposition of aerosolized and injected microspheres. J Appl Physiol (1985) 85: 2344‐2351, 1998.
 12.Altemeier WA, Robertson HT, McKinney S, Glenny RW. Pulmonary embolization causes hypoxemia by redistributing regional blood flow without changing ventilation. J Appl Physiol (1985) 85: 2337‐2343, 1998.
 13.Ament S, Maus S, Reber H, Buchholz H, Bausbacher N, Brochhausen C, Graf F, Miederer M, Schreckenberger M. PET lung ventilation/perfusion imaging using 68 Ga aerosol (Galligas) and 68 Ga‐labeled macroaggregated albumin. In: Baum RP, Rösch F, editors. Theranostics, Gallium‐68, and Other Radionuclides. Heidelberg: Springer, 2013, p. 395‐423.
 14.Amis TC, Crawford AB, Davison A, Engel LA. Distribution of inhaled 99mtechnetium labelled ultrafine carbon particle aerosol (Technegas) in human lungs. Eur Respir J 3: 679‐685, 1990.
 15.Anderson JC, Hlastala MP. Impact of airway gas exchange on the multiple inert gas elimination technique: Theory. Ann Biomed Eng 38: 1017‐1030, 2010.
 16.Anthonisen NR, Dolovich MB, Bates DV. Steady state measurement of regional ventilation to perfusion ratios in normal man. J Clin Invest 45: 1349‐1356, 1966.
 17.Anthonisen NR, Milic‐Emili J. Distribution of pulmonary perfusion in erect man. J Appl Physiol 21: 760‐766, 1966.
 18.Arai TJ, Horn FC, Sá RC, Rao MR, Collier GJ, Theilmann RJ, Prisk GK, Wild JM. Comparison of quantitative multiple‐breath specific ventilation imaging using colocalized 2D oxygen‐enhanced MRI and hyperpolarized 3He MRI. J Appl Physiol (1985) 125: 1526‐1535, 2018.
 19.Arai TJ, Prisk GK, Holverda S, Sa RC, Theilmann RJ, Henderson AC, Cronin MV, Buxton RB, Hopkins SR. Magnetic resonance imaging quantification of pulmonary perfusion using calibrated arterial spin labeling. JoVE, 51e2712, 2011.
 20.Arnold JF, Fidler F, Wang T, Pracht ED, Schmidt M, Jakob PM. Imaging lung function using rapid dynamic acquisition of T1‐maps during oxygen enhancement. MAGMA 16: 246‐253, 2004.
 21.Ax M, Karlsson LL, Sanchez‐Crespo A, Lindahl SG, Linnarsson D, Mure M, Petersson J. Regional lung ventilation in humans during hypergravity studied with quantitative SPECT. Respir Physiol Neurobiol 189: 558‐564, 2013.
 22.Bae KT. Intravenous contrast medium administration and scan timing at CT: Considerations and approaches. Radiology 256: 32‐61, 2010.
 23.Bailey DL, Eslick EM, Schembri GP, Roach PJ. 68Ga PET ventilation and perfusion lung imaging—current status and future challenges. Semin Nucl Med 46 (5): 428‐435, 2016.
 24.Bajc M, Neilly J, Miniati M, Schuemichen C, Meignan M, Jonson B. EANM guidelines for ventilation/perfusion scintigraphy. Eur J Nucl Med Mol Imaging 36: 1356‐1370, 2009.
 25.Bajc M, Neilly JB, Miniati M, Schuemichen C, Meignan M, Jonson B. EANM guidelines for ventilation/perfusion scintigraphy: Part 2. Algorithms and clinical considerations for diagnosis of pulmonary emboli with V/P(SPECT) and MDCT. Eur J Nucl Med Mol Imaging 36: 1528‐1538, 2009.
 26.Bakker ME, Stolk J, Putter H, Shaker SB, Parr DG, Piitulainen E, Russi EW, Dirksen A, Stockley RA, Reiber JH, Stoel BC. Variability in densitometric assessment of pulmonary emphysema with computed tomography. Invest Radiol 40: 777‐783, 2005.
 27.Ball WC Jr, Stewart PB, Newsham LG, Bates DV. Regional pulmonary function studied with xenon 133. J Clin Invest 41: 519‐531, 1962.
 28.Barker RC, Hopkins SR, Kellogg N, Olfert IM, Brutsaert TD, Gavin TP, Entin PL, Rice AJ, Wagner PD. Measurement of cardiac output during exercise by open‐circuit acetylene uptake. J Appl Physiol (1985) 87: 1506‐1512, 1999.
 29.Bassingthwaighte JB, Malone MA, Moffett TC, King RB, Little SE, Link JM, Krohn KA. Validity of microsphere depositions for regional myocardial flows. Am J Physiol 253: H184‐H193, 1987.
 30.Bateman TM. Advantages and disadvantages of PET and SPECT in a busy clinical practice. J Nucl Cardiol 19 (Suppl 1): S3‐S11, 2012.
 31.Bebout DE, Story D, Roca J, Hogan MC, Poole DC, Gonzalez‐Camarena R, Ueno O, Haab P, Wagner PD. Effects of altitude acclimatization on pulmonary gas exchange during exercise. J Appl Physiol (1985) 67: 2286‐2295, 1989.
 32.Becher TH, Bui S, Zick G, Blaser D, Schadler D, Weiler N, Frerichs I. Assessment of respiratory system compliance with electrical impedance tomography using a positive end‐expiratory pressure wave maneuver during pressure support ventilation: A pilot clinical study. Crit Care 18: 679, 2014.
 33.Berggren SM. The Oxygen Deficit of Arterial Blood Caused by Non‐Ventilating Parts of the Lung. Stockholm: Kungl. Boktryckeriet, 1942, p. 92.
 34.Bernard SL, Ewen JR, Barlow CH, Kelly JJ, McKinney S, Frazer DA, Glenny RW. High spatial resolution measurements of organ blood flow in small laboratory animals. Am J Physiol Heart Circ Physiol 279: H2043‐H2052, 2000.
 35.Bernard SL, Glenny RW, Erickson HH, Fedde MR, Polissar N, Basaraba RJ, Hlastala MP. Minimal redistribution of pulmonary blood flow with exercise in racehorses. J Appl Physiol (1985) 81: 1062‐1070, 1996.
 36.Bodenstein M, David M, Markstaller K. Principles of electrical impedance tomography and its clinical application. Crit Care Med 37: 713‐724, 2009.
 37.Bohr C. Ueber die Lungenathmung 1. Skandinavisches Archiv für Physiologie 2: 236‐268, 1891.
 38.Bolar DS, Levin DL, Hopkins SR, Frank LF, Liu TT, Wong EC, Buxton RB. Quantification of regional pulmonary blood flow using ASL‐FAIRER. Magn Reson Med 55: 1308‐1317, 2006.
 39.Borges JB, Suarez‐Sipmann F, Bohm SH, Tusman G, Melo A, Maripuu E, Sandstrom M, Park M, Costa EL, Hedenstierna G, Amato M. Regional lung perfusion estimated by electrical impedance tomography in a piglet model of lung collapse. J Appl Physiol (1985) 112: 225‐236, 2012.
 40.Borges JB, Velikyan I, Långström B, Sörensen J, Ulin J, Maripuu E, Sandström M, Widström C, Hedenstierna G. Ventilation distribution studies comparing Technegas and “Gallgas” using 68GaCl3 as the label. J Nucl Med 52: 206‐209, 2011.
 41.Bouhuys A, Lichtneckert S, Lundgren C, Lundin G. Voluntary changes in breathing pattern and N2 clearance from lungs. J Appl Physiol 16: 1039‐1042, 1961.
 42.Briguori C, Colombo A, Airoldi F, Melzi G, Michev I, Carlino M, Montorfano M, Chieffo A, Bellanca R, Ricciardelli B. Gadolinium‐based contrast agents and nephrotoxicity in patients undergoing coronary artery procedures. Catheter Cardiovasc Interv 67: 175‐180, 2006.
 43.Brown BH. Electrical impedance tomography (EIT): A review. J Med Eng Technol 27: 97‐108, 2003.
 44.Brudin LH, Rhodes CG, Valind SO, Jones T, Hughes JMB. Interrelationships between regional blood‐flow, blood‐volume, and ventilation in supine humans. J Appl Physiol (1985) 76: 1205‐1210, 1994.
 45.Buckberg GD, Luck JC, Payne DB, Hoffman JIE, Archie JP, Fixler DE. Some sources of error in measuring regional blood flow with radioactive microspheres. J Appl Physiol 31: 598‐604, 1971.
 46.Burrowes KS, Buxton RB, Prisk GK. Assessing potential errors of MRI‐based measurements of pulmonary blood flow using a detailed network flow model. J Appl Physiol (1985) 113: 130‐141, 2012.
 47.Buxton RB. Introduction to Functional Magnetic Resonance Imaging: Principles and Techniques. New York, NY: Cambridge University Press, 2009.
 48.Callahan J, Hofman MS, Siva S, Kron T, Schneider ME, Binns D, Eu P, Hicks RJ. High‐resolution imaging of pulmonary ventilation and perfusion with 68Ga‐VQ respiratory gated (4‐D) PET/CT. Eur J Nucl Med Mol Imaging 41: 343‐349, 2014.
 49.Chang H, Lai‐Fook SJ, Domino KB, Schimmel C, Hildebrandt J, Robertson HT, Glenny RW, Hlastala MP. Spatial distribution of ventilation and perfusion in anesthetized dogs in lateral postures. J Appl Physiol (1985) 92: 745‐762, 2002.
 50.Chen Q, Jakob PM, Griswold MA, Levin DL, Hatabu H, Edelman RR. Oxygen enhanced MR ventilation imaging of the lung. MAGMA 7: 153‐161, 1998.
 51.Chon D, Beck KC, Larsen RL, Shikata H, Hoffman EA. Regional pulmonary blood flow in dogs by 4D‐X‐ray CT. J Appl Physiol (1985) 101: 1451‐1465, 2006.
 52.Chon D, Beck KC, Simon BA, Shikata H, Saba OI, Hoffman EA. Effect of low‐xenon and krypton supplementation on signal/noise of regional CT‐based ventilation measurements. J Appl Physiol (1985) 102: 1535‐1544, 2007.
 53.Chon D, Simon BA, Beck KC, Shikata H, Saba OI, Won C, Hoffman EA. Differences in regional wash‐in and wash‐out time constants for xenon‐CT ventilation studies. Respir Physiol Neurobiol 148: 65‐83, 2005.
 54.Coghe J, Votion D, Lekeux P. Comparison between radioactive aerosol, technegas and krypton for ventilation imaging in healthy calves. Vet J 160: 25‐32, 2000.
 55.Colegrove F, Schearer L, Walters G. Polarization of He 3 gas by optical pumping. Phys Rev 132: 2561, 1963.
 56.Couch MJ, Ball IK, Li T, Fox MS, Littlefield SL, Biman B, Albert MS. Pulmonary ultrashort echo time 19F MR imaging with inhaled fluorinated gas mixtures in healthy volunteers: Feasibility. Radiology 269: 903‐909, 2013.
 57.Crawford AB, Cotton DJ, Paiva M, Engel LA. Effect of lung volume on ventilation distribution. J Appl Physiol (1985) 66: 2502‐2510, 1989.
 58.Crawford AB, Davison A, Amis TC, Engel LA. Intrapulmonary distribution of 99mtechnetium labelled ultrafine carbon aerosol (Technegas) in severe airflow obstruction. Eur Respir J 3: 686‐692, 1990.
 59.Crawford AB, Makowska M, Engel LA. Effect of tidal volume on ventilation maldistribution. Respir Physiol 66: 11‐25, 1986.
 60.Darquenne C, Fleming JS, Katz I, Martin AR, Schroeter J, Usmani OS, Venegas J, Schmid O. Bridging the Gap between science and clinical efficacy: Physiology, imaging, and modeling of aerosols in the lung. J Aerosol Med Pulm Drug Deliv 29: 107‐126, 2016.
 61.Darquenne C, Zeman KL, Sa RC, Cooper TK, Fine JM, Bennett WD, Prisk GK. Removal of sedimentation decreases relative deposition of coarse particles in the lung periphery. J Appl Physiol (1985) 115: 546‐555, 2013.
 62.de Lange EE, Mugler JP III, Brookeman JR, Knight‐Scott J, Truwit JD, Teates CD, Daniel TM, Bogorad PL, Cates GD. Lung air spaces: MR imaging evaluation with hyperpolarized 3He gas. Radiology 210: 851‐857, 1999.
 63.Deninger AJ, Eberle B, Bermuth J, Escat B, Markstaller K, Schmiedeskamp J, Schreiber WG, Surkau R, Otten E, Kauczor HU. Assessment of a single‐acquisition imaging sequence for oxygen‐sensitive (3)He‐MRI. Magn Reson Med 47: 105‐114, 2002.
 64.Deninger AJ, Eberle B, Ebert M, Grossmann T, Heil W, Kauczor H, Lauer L, Markstaller K, Otten E, Schmiedeskamp J, Schreiber W, Surkau R, Thelen M, Weiler N. Quantification of regional intrapulmonary oxygen partial pressure evolution during apnea by (3)He MRI. J Magn Reson 141: 207‐216, 1999.
 65.Deninger AJ, Mansson S, Petersson JS, Pettersson G, Magnusson P, Svensson J, Fridlund B, Hansson G, Erjefeldt I, Wollmer P, Golman K. Quantitative measurement of regional lung ventilation using 3He MRI. Magn Reson Med 48: 223‐232, 2002.
 66.Dietrich O, Losert C, Attenberger U, Fasol U, Peller M, Nikolaou K, Reiser MF, Schoenberg SO. Fast oxygen‐enhanced multislice imaging of the lung using parallel acquisition techniques. Magn Reson Med 53: 1317‐1325, 2005.
 67.Dollery C, Gillam P. The distribution of blood and gas within the lungs measured by scanning after administration of 133Xe. Thorax 18: 316, 1963.
 68.Driehuys B, Moeller H, Pollaro J, Hedlund L. MR imaging of pulmonary perfusion and gas exchange by intravenous injection of hyperpolarized 129Xe. Proc Intl Soc Mag Reson Med 15: 455, 2007.
 69.Driehuys B, Moller HE, Cleveland ZI, Pollaro J, Hedlund LW. Pulmonary perfusion and xenon gas exchange in rats: MR imaging with intravenous injection of hyperpolarized 129Xe. Radiology 252: 386‐393, 2009.
 70.Dueck R, Rathbun M, Wagner PD. Chromatographic analysis of multiple tracer inert gases in the presence of anesthetic gases. Anesthesiology 49: 31‐36, 1978.
 71.Dueck R, Young I, Clausen J, Wagner PD. Altered distribution of pulmonary ventilation and blood flow following induction of inhalation anesthesia. Anesthesiology 52: 113‐125, 1980.
 72.Easley RB, Fuld MK, Fernandez‐Bustamante A, Hoffman EA, Simon BA. Mechanism of hypoxemia in acute lung injury evaluated by multidetector‐row CT. Acad Radiol 13: 916‐921, 2006.
 73.Eberle B, Weiler N, Markstaller K, Kauczor H, Deninger A, Ebert M, Grossmann T, Heil W, Lauer LO, Roberts TP, Schreiber WG, Surkau R, Dick WF, Otten EW, Thelen M. Analysis of intrapulmonary O(2) concentration by MR imaging of inhaled hyperpolarized helium‐3. J Appl Physiol 87: 2043‐2052, 1999.
 74.Elmstahl B, Nyman U, Leander P, Chai CM, Golman K, Bjork J, Almen T. Gadolinium contrast media are more nephrotoxic than iodine media. The importance of osmolality in direct renal artery injections. Eur Radiol 16 (12): 2712‐2720, 2006.
 75.Emami K, Kadlecek SJ, Woodburn JM, Zhu J, Yu J, Vahdat V, Pickup S, Ishii M, Rizi RR. Improved technique for measurement of regional fractional ventilation by hyperpolarized 3He MRI. Magn Reson Med 63: 137‐150, 2010.
 76.Evans JW, Wagner PD. Limits on VA/Q distributions from analysis of experimental inert gas elimination. J Appl Physiol Respir Environ Exerc Physiol 42: 889‐898, 1977.
 77.Evans JW, Wagner PD, West JB. Conditions for reduction of pulmonary gas transfer by ventilation‐perfusion inequality. J Appl Physiol 36: 533‐537, 1974.
 78.Eyuboglu BM, Brown BH, Barber DC, Seagar AD. Localisation of cardiac related impedance changes in the thorax. Clin Phys Physiol Meas 8 (Suppl A): 167‐173, 1987.
 79.Faes TJ, van der Meij HA, de Munck JC, Heethaar RM. The electric resistivity of human tissues (100 Hz‐10 MHz): A meta‐analysis of review studies. Physiol Meas 20: R1‐R10, 1999.
 80.Fagerberg A, Stenqvist O, Aneman A. Electrical impedance tomography applied to assess matching of pulmonary ventilation and perfusion in a porcine experimental model. Crit Care 13: R34, 2009.
 81.Fagerberg A, Stenqvist O, Aneman A. Monitoring pulmonary perfusion by electrical impedance tomography: An evaluation in a pig model. Acta Anaesthesiol Scand 53: 152‐158, 2009.
 82.Farhi LE, Tenney SM. Section 3. The Respiratory System, Volume 4 Gas Exchange. Bethesda, MD: American Physiological Society, Distributed by Williams & Wilkins, 1977.
 83.Fazio F, Jones T. Assessment of regional ventilation by continuous inhalation of radioactive krypton‐81m. Br Med J 3: 673‐676, 1975.
 84.Fazio F, Wollmer P. Clinical ventilation‐perfusion scintigraphy. Clin Physiol 1: 323‐337, 1981.
 85.Fischer MC, Spector ZZ, Ishii M, Yu J, Emami K, Itkin M, Rizi R. Single‐acquisition sequence for the measurement of oxygen partial pressure by hyperpolarized gas MRI. Magn Reson Med 52: 766‐773, 2004.
 86.Foley WD, Haughton VM, Schmidt J, Wilson CR. Xenon contrast enhancement in computed body tomography. Radiology 129: 219‐220, 1978.
 87.Fowler WS. Lung function studies. II. The respiratory dead space. Am J Physiol 154: 405‐416, 1948.
 88.Fowler WS. Lung function studies. III. Uneven pulmonary ventilation in normal subjects and in patients with pulmonary disease. J Appl Physiol 2: 283‐299, 1949.
 89.Fowler WS, Comroe JH. Lung function studies. I. The rate of increase of arterial oxygen saturation during the inhalation of 100 per cent O 2. J Clin Invest 27: 327‐334, 1948.
 90.Frerichs I, Amato MB, van Kaam AH, Tingay DG, Zhao Z, Grychtol B, Bodenstein M, Gagnon H, Bohm SH, Teschner E, Stenqvist O, Mauri T, Torsani V, Camporota L, Schibler A, Wolf GK, Gommers D, Leonhardt S, Adler A, TREND study group. Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: Consensus statement of the TRanslational EIT developmeNt stuDy group. Thorax 72: 83‐93, 2017.
 91.Frerichs I, Dudykevych T, Hinz J, Bodenstein M, Hahn G, Hellige G. Gravity effects on regional lung ventilation determined by functional EIT during parabolic flights. J Appl Physiol (1985) 91: 39‐50, 2001.
 92.Frerichs I, Hinz J, Herrmann P, Weisser G, Hahn G, Dudykevych T, Quintel M, Hellige G. Detection of local lung air content by electrical impedance tomography compared with electron beam CT. J Appl Physiol (1985) 93: 660‐666, 2002.
 93.Frerichs I, Hinz J, Herrmann P, Weisser G, Hahn G, Quintel M, Hellige G. Regional lung perfusion as determined by electrical impedance tomography in comparison with electron beam CT imaging. IEEE Trans Med Imaging 21: 646‐652, 2002.
 94.Fuld MK, Halaweish A, Newell JD Jr, Krauss B, Hoffman EA. Optimization of dual‐energy xenon‐ct for quantitative assessment of regional pulmonary ventilation. Invest Radiol 48, 2013. DOI: 10.1097/RLI.0b013e31828ad647.
 95.Fuld MK, Halaweish AF, Haynes SE, Divekar AA, Guo J, Hoffman EA. Pulmonary perfused blood volume with dual‐energy CT as surrogate for pulmonary perfusion assessed with dynamic multidetector CT. Radiology 267: 747‐756, 2013.
 96.Galletti GG, Venegas JG. Tracer kinetic model of regional pulmonary function using positron emission tomography. J Appl Physiol (1985) 93: 1104‐1114, 2002.
 97.Ganz W, Donoso R, Marcus HS, Forrester JS, Swan HJ. A new technique for measurement of cardiac output by thermodilution in man. Am J Cardiol 27: 392‐396, 1971.
 98.Gattinoni L, Chiumello D. CT ventilation imaging: Technical background and impact in acute lung injury and ARDS management. In: Lipson D, Van Beek E, editors. Functional Lung Imaging. USA: Taylor & Francis, 2005, p. 14‐32.
 99.Geddes LA, Baker LE. The specific resistance of biological material—A compendium of data for the biomedical engineer and physiologist. Med Biol Eng 5: 271‐293, 1967.
 100.Geier ET, Neuhart I, Theilmann RJ, Prisk GK, Sa RC. Spatial persistence of reduced specific ventilation following methacholine challenge in the healthy human lung. J Appl Physiol (1985) 124: 1222‐1232, 2018.
 101.Gerbino AJ, McKinney S, Glenny RW. Correlation between ventilation and perfusion determines V˙a/Q˙ heterogeneity in endotoxemia. J Appl Physiol (1985) 88: 1933‐1942, 2000.
 102.Physikalisch‐medicinische Gesellschaft. Verhandlungen der Physikalisch‐medincinischen gesellschaft. Würzburg: Stahelschen, Bush und Kumsthandlung, 1869.
 103.Glazier JB, Hughes JM, Maloney JE, West JB. Vertical gradient of alveolar size in lungs of dogs frozen intact. J Appl Physiol 23: 694‐705, 1967.
 104.Glenny R, Bernard S, Neradilek B, Polissar N. Quantifying the genetic influence on mammalian vascular tree structure. Proc Natl Acad Sci U S A 104: 6858‐6863, 2007.
 105.Glenny RW. Spatial correlation of regional pulmonary perfusion. J Appl Physiol (1985) 72: 2378‐2386, 1992.
 106.Glenny RW, Bauer C, Hofmanninger J, Lamm WJ, Krueger MA, Beichel RR. Heterogeneity and matching of ventilation and perfusion within anatomical lung units in rats. Respir Physiol Neurobiol 189: 594‐606, 2013.
 107.Glenny RW, Bernard S, Robertson HT, Hlastala MP. Gravity is an important but secondary determinant of regional pulmonary blood flow in upright primates. J Appl Physiol (1985) 86: 623‐632, 1999.
 108.Glenny RW, Bernard SL, Lamm WJ. Hemodynamic effects of 15‐μm‐diameter microspheres on the rat pulmonary circulation. J Appl Physiol 89: 499‐504, 2000.
 109.Glenny RW, Bernard SL, Robertson HT. Pulmonary blood flow remains fractal down to the level of gas exchange. J Appl Physiol (1985) 89: 742‐748, 2000.
 110.Glenny RW, Lamm WJ, Bernard SL, An D, Chornuk M, Pool SL, Wagner WW Jr, Hlastala MP, Robertson HT. Selected contribution: Redistribution of pulmonary perfusion during weightlessness and increased gravity. J Appl Physiol (1985) 89: 1239‐1248, 2000.
 111.Glenny RW, Lamm WJE, Albert RK, Robertson HT. Gravity is a minor determinant of pulmonary blood‐flow distribution. J Appl Physiol (1985) 71: 620‐629, 1991.
 112.Glenny RW, McKinney S, Robertson HT. Spatial pattern of pulmonary blood flow distribution is stable over days. J Appl Physiol (1985) 82: 902‐907, 1997.
 113.Glenny RW, Robertson HT. Determinants of pulmonary blood flow distribution. Compr Physiol 1: 39‐59, 2010.
 114.Glenny RW, Robertson HT, Hlastala MP. Vasomotor tone does not affect perfusion heterogeneity and gas exchange in normal primate lungs during normoxia. J Appl Physiol (1985) 89: 2263‐2267, 2000.
 115.Grenier PA, Beigelman‐Aubry C, Feitita C. Computed tomography: Introduction to CT imaging. In: Lipson D, Van Beek E, editors. Functional Lung Imaging. USA: Taylor & Francis, 2005, p. 14‐32.
 116.Gur D, Drayer BP, Borovetz HS, Griffith BP, Hardesty RL, Wolfson SK. Dynamic computed tomography of the lung: Regional ventilation measurements. J Comput Assist Tomogr 3: 749‐753, 1979.
 117.Gur D, Shabason L, Borovetz HS, Herbert DL, Reece GJ, Kennedy WH, Serago C. Regional pulmonary ventilation measurements by xenon enhanced dynamic computed tomography: An update. J Comput Assist Tomogr 5: 678‐683, 1981.
 118.Gustafsson A, Jacobsson L, Johansson A, Moonen M, Tylen U, Bake B. Evaluation of various attenuation corrections in lung SPECT in healthy subjects. Nucl Med Commun 24: 1087‐1095, 2003.
 119.Guy HJ, Gaines RA, Hill PM, Wagner PD, West JB. Computerized, noninvasive tests of lung function. A flexible approach using mass spectrometry. Am Rev Respir Dis 113: 737‐744, 1976.
 120.Hachulla AL, Pontana F, Wemeau‐Stervinou L, Khung S, Faivre JB, Wallaert B, Cazaubon JF, Duhamel A, Perez T, Devos P, Remy J, Remy‐Jardin M. Krypton ventilation imaging using dual‐energy CT in chronic obstructive pulmonary disease patients: Initial experience. Radiology 263: 253‐259, 2012.
 121.Haczku A, Emami K, Fischer MC, Kadlecek S, Ishii M, Panettieri RA, Rizi RR. Hyperpolarized 3He MRI in asthma measurements of regional ventilation following allergic sensitization and challenge in mice—Preliminary results. Acad Radiol 12: 1362‐1370, 2005.
 122.Hale SL, Alker KJ, Kloner RA. Evaluation of nonradioactive, colored microspheres for measurement of regional myocardial blood flow in dogs. Circulation 78: 428‐434, 1988.
 123.Hamedani H, Clapp JT, Kadlecek SJ, Emami K, Ishii M, Gefter WB, Xin Y, Cereda M, Shaghaghi H, Siddiqui S. Regional fractional ventilation by using multibreath wash‐in 3He MR imaging. Radiology 279: 917‐924, 2016.
 124.Hamedani H, Shaghaghi H, Kadlecek SJ, Xin Y, Han B, Siddiqui S, Rajaei J, Ishii M, Rossman M, Rizi RR. Vertical gradients in regional alveolar oxygen tension in supine human lung imaged by hyperpolarized 3He MRI. NMR Biomed 27: 1439‐1450, 2014.
 125.Hammond MD, Gale GE, Kapitan KS, Ries A, Wagner PD. Pulmonary gas exchange in humans during exercise at sea level. J Appl Physiol (1985) 60: 1590‐1598, 1986.
 126.Hammond MD, Gale GE, Kapitan KS, Ries A, Wagner PD. Pulmonary gas exchange in humans during normobaric hypoxic exercise. J Appl Physiol (1985) 61: 1749‐1757, 1986.
 127.Happer W. Optical Pumping. Rev Mod Phys 44: 169‐249, 1972.
 128.Happer W, Miron E, Schaefer S, Schreiber D, Wijngaarden W, Zeng X. Polarization of the nuclear spins of noble‐gas atoms by spin‐exchange with optically pumped alkali‐metal atoms. Phys Rev A 29: 3092, 1984.
 129.Harf A, Pratt T, Hughes JMB. Regional Distribution of Va‐Q in man at rest and with exercise measured with krypton‐81m. J Appl Physiol 44: 115‐123, 1978.
 130.Harrach B, Ullrich M. Resolution guarantees in electrical impedance tomography. IEEE Trans Med Imaging 34: 1513‐1521, 2015.
 131.Hatabu H, Tadamura E, Levin DL, Chen Q, Li W, Kim D, Prasad PV, Edelman RR. Quantitative assessment of pulmonary perfusion with dynamic contrast‐enhanced MRI. Magn Reson Med 42: 1033‐1038, 1999.
 132.Hedenstierna G. Atelectasis formation and gas exchange impairment during anaesthesia. Monaldi Arch Chest Dis 49: 315‐322, 1994.
 133.Hedlund LW, Vock P, Effmann EL. Computed tomography of the lung. Densitometric studies. Radiol Clin North Am 21: 775‐788, 1983.
 134.Henderson AC, Prisk GK, Levin DL, Hopkins SR, Buxton RB. Characterizing pulmonary blood flow distribution measured using arterial spin labeling. NMR Biomed 22: 1025‐1035, 2009.
 135.Henderson AC, Sa RC, Theilmann RJ, Buxton RB, Prisk GK, Hopkins SR. The gravitational distribution of ventilation‐perfusion ratio is more uniform in prone than supine posture in the normal human lung. J Appl Physiol (1985) 115: 313‐324, 2013.
 136.Henry FS, Butler JP, Tsuda A. Kinematically irreversible acinar flow: A departure from classical dispersive aerosol transport theories. J Appl Physiol (1985) 92: 835‐845, 2002.
 137.Herbert DL, Gur D, Shabason L, Good WF, Rinaldo JE, Snyder JV, Borovetz HS, Mancici MC. Mapping of human local pulmonary ventilation by xenon enhanced computed tomography. J Comput Assist Tomogr 6: 1088‐1093, 1982.
 138.Heymann MA, Payne BD, Hoffman JI, Rudolph AM. Blood flow measurements with radionuclide‐labeled particles. Prog Cardiovasc Dis 20: 55‐79, 1977.
 139.Hinz J, Neumann P, Dudykevych T, Andersson LG, Wrigge H, Burchardi H, Hedenstierna G. Regional ventilation by electrical impedance tomography: A comparison with ventilation scintigraphy in pigs. Chest 124: 314‐322, 2003.
 140.Hlastala MP. Multiple inert gas elimination technique. J Appl Physiol Respir Environ Exerc Physiol 56: 1‐7, 1984.
 141.Hlastala MP. The alcohol breath test—A review. J Appl Physiol (1985) 84: 401‐408, 1998.
 142.Hlastala MP, Lamm WJ, Karp A, Polissar NL, Starr IR, Glenny RW. Spatial distribution of hypoxic pulmonary vasoconstriction in the supine pig. J Appl Physiol (1985) 96: 1589‐1599, 2004.
 143.Hoffman EA, Chon D. Computed tomography studies of lung ventilation and perfusion. Proc Am Thorac Soc 2: 492‐498, 506, 2005.
 144.Hoffman EA, Tajik JK, Kugelmass SD. Matching pulmonary structure and perfusion via combined dynamic multislice CT and thin‐slice high‐resolution CT. Comput Med Imaging Graph 19: 101‐112, 1995.
 145.Holverda S, Theilmann RJ, Sa RC, Arai TJ, Hall ET, Dubowitz DJ, Prisk GK, Hopkins SR. Measuring lung water: Ex vivo validation of multi‐image gradient echo MRI. J Magn Reson Imaging 34: 220‐224, 2011.
 146.Honda N, Osada H, Watanabe W, Nakayama M, Nishimura K, Krauss B, Otani K. Imaging of ventilation with dual‐energy CT during breath hold after single vital‐capacity inspiration of stable xenon. Radiology 262: 262‐268, 2012.
 147.Hong SR, Chang S, Im DJ, Suh YJ, Hong YJ, Hur J, Kim YJ, Choi BW, Lee HJ. Feasibility of single scan for simultaneous evaluation of regional krypton and iodine concentrations with dual‐energy CT: An experimental study. Radiology 281: 597‐605, 2016.
 148.Hopkins SR, Bayly WM, Slocombe RF, Wagner H, Wagner PD. Effect of prolonged heavy exercise on pulmonary gas exchange in horses. J Appl Physiol (1985) 84: 1723‐1730, 1998.
 149.Hopkins SR, Elliott AR, Prisk GK, Darquenne C. Ventilation heterogeneity measured by multiple breath inert gas testing is not affected by inspired oxygen concentration in healthy humans. J Appl Physiol 122: 1379‐1387, 2017.
 150.Hopkins SR, Garg J, Bolar DS, Balouch J, Levin DL. Pulmonary blood flow heterogeneity during hypoxia and high‐altitude pulmonary edema. Am J Respir Crit Care Med 171: 83‐87, 2005.
 151.Hopkins SR, Gavin TP, Siafakas NM, Haseler LJ, Olfert IM, Wagner H, Wagner PD. Effect of prolonged, heavy exercise on pulmonary gas exchange in athletes. J Appl Physiol (1985) 85: 1523‐1532, 1998.
 152.Hopkins SR, Henderson AC, Levin DL, Yamada K, Arai T, Buxton RB, Prisk GK. Vertical gradients in regional lung density and perfusion in the supine human lung: The Slinky effect. J Appl Physiol (1985) 103: 240‐248, 2007.
 153.Hopkins SR, Hicks JW, Cooper TK, Powell FL. Ventilation and pulmonary gas exchange during exercise in the savannah monitor lizard (Varanus exanthematicus). J Exp Biol 198: 1783‐1789, 1995.
 154.Hopkins SR, Kleinsasser A, Bernard S, Loeckinger A, Falor E, Neradilek B, Polissar NL, Hlastala MP. Hypoxia has a greater effect than exercise on the redistribution of pulmonary blood flow in swine. J Appl Physiol (1985) 103: 2112‐2119, 2007.
 155.Hopkins SR, Levin DL. Heterogeneous pulmonary blood flow in response to hypoxia: A risk factor for high altitude pulmonary edema? Respir Physiol Neurobiol 151: 217‐228, 2006.
 156.Hopkins SR, Levin DL, Emami K, Kadlecek S, Yu J, Ishii M, Rizi RR. Advances in magnetic resonance imaging of lung physiology. J Appl Physiol (1985) 102: 1244‐1254, 2007.
 157.Hopkins SR, McKenzie DC, Schoene RB, Glenny RW, Robertson HT. Pulmonary gas exchange during exercise in athletes. I. Ventilation‐perfusion mismatch and diffusion limitation. J Appl Physiol (1985) 77: 912‐917, 1994.
 158.Hopkins SR, Olfert IM, Wagner PD. Point: Exercise‐induced intrapulmonary shunting is imaginary. J Appl Physiol (1985) 107: 993‐994, 2009.
 159.Hopkins SR, Prisk GK. Lung perfusion measured using magnetic resonance imaging: New tools for physiological insights into the pulmonary circulation. J Magn Reson Imaging 32: 1287‐1301, 2010.
 160.Hopkins SR, Wagner PD. The Multiple Inert Gas Elimination Technique (MIGET). New York, NY: Springer, 2017, p. xiii, 329 pages.
 161.Hsia CC, Herazo LF, Ramanathan M, Johnson RL Jr, Wagner PD. Cardiopulmonary adaptations to pneumonectomy in dogs. II. VA/Q relationships and microvascular recruitment. J Appl Physiol (1985) 74: 1299‐1309, 1993.
 162.Hughes J. Short‐lived radionuclides and regional lung function. Br J Radiol 52: 353‐370, 1979.
 163.Hughes JM, Glazier JB, Maloney JE, West JB. Effect of lung volume on the distribution of pulmonary blood flow in man. Respir Physiol 4: 58‐72, 1968.
 164.Hysing B, Dahl LE, Varnauskas E. Determination of cardiac output with cardio green in a direct writing colorimeter. Scand J Clin Lab Invest 14: 430‐434, 1962.
 165.Inkley SR, Macintyre WJ. Dynamic measurement of ventilation‐perfusion with Xenon‐133 at resting lung volumes. Am Rev Respir Dis 107: 429‐441, 1973.
 166.Iyer KS, Newell JD Jr, Jin D, Fuld MK, Saha PK, Hansdottir S, Hoffman EA. Quantitative dual‐energy computed tomography supports a vascular etiology of smoking‐induced inflammatory lung disease. Am J Respir Crit Care Med 193: 652‐661, 2016.
 167.Jacob RE, Lamm WJ, Einstein DR, Krueger MA, Glenny RW, Corley RA. Comparison of CT‐derived ventilation maps with deposition patterns of inhaled microspheres in rats. Exp Lung Res 41: 135‐145, 2015.
 168.Jakob PM, Wang T, Schultz G, Hebestreit H, Hebestreit A, Hahn D. Assessment of human pulmonary function using oxygen‐enhanced T(1) imaging in patients with cystic fibrosis. Magn Reson Med 51: 1009‐1016, 2004.
 169.Jean‐Christophe R, Janier M, Lavenne F, Tourvieille C. Quantitative assessment of regional alveolar ventilation and gas volume using 13NN2 washout and PET. J Nucl Med 46: 1375, 2005.
 170.Jernudd‐Wilhelmsson Y, Hornblad Y, Hedenstierna G. Ventilation‐perfusion relationships in interstitial lung disease. Eur J Respir Dis 68: 39‐49, 1986.
 171.Johns CS, Swift AJ, Hughes PJC, Ohno Y, Schiebler M, Wild JM. Pulmonary MR angiography and perfusion imaging—A review of methods and applications. Eur J Radiol 86: 361‐370, 2017.
 172.Johnson TR. Dual‐energy CT: General principles. AJR Am J Roentgenol 199: S3‐S8, 2012.
 173.Johnson TR, Krauss B, Sedlmair M, Grasruck M, Bruder H, Morhard D, Fink C, Weckbach S, Lenhard M, Schmidt B, Flohr T, Reiser MF, Becker CR. Material differentiation by dual energy CT: Initial experience. Eur Radiol 17: 1510‐1517, 2007.
 174.Jones AT, Hansell DM, Evans TW. Pulmonary perfusion in supine and prone positions: An electron‐beam computed tomography study. J Appl Physiol (1985) 90: 1342‐1348, 2001.
 175.Jones AW. Determination of liquid/air partition coefficients for dilute solutions of ethanol in water, whole blood, and plasma. J Anal Toxicol 7: 193‐197, 1983.
 176.Jonk AM, van den Berg IP, Olfert IM, Wray DW, Arai T, Hopkins SR, Wagner PD. Effect of acetazolamide on pulmonary and muscle gas exchange during normoxic and hypoxic exercise. J Physiol 579: 909‐921, 2007.
 177.Kallas HJ, Domino KB, Glenny RW, Anderson EA, Hlastala MP. Pulmonary blood flow redistribution with low levels of positive end‐expiratory pressure. Anesthesiology 88: 1291‐1299, 1998.
 178.Kastler A. Quelques suggestions concernant la production optique et la détection optique d'une inégalité de population des niveaux de quantifigation spatiale des atomes. Application à l'expérience de Stern et Gerlach et à la résonance magnétique. J Phys Radium 11: 255‐265, 1950.
 179.Kauczor HU, Hofmann D, Kreitner KF, Nilgens H, Surkau R, Heil W, Potthast A, Knopp MV, Otten EW, Thelen M. Normal and abnormal pulmonary ventilation: Visualization at hyperpolarized He‐3 MR imaging. Radiology 201: 564‐568, 1996.
 180.Kaushik SS, Freeman MS, Yoon SW, Liljeroth MG, Stiles JV, Roos JE, Michael Foster WS, Rackley CR, McAdams HP, Driehuys B. Measuring diffusion limitation with a perfusion‐limited gas—Hyperpolarized 129Xe gas‐transfer spectroscopy in patients with idiopathic pulmonary fibrosis. J Appl Physiol 117: 577‐585, 2014.
 181.Kaushik SS, Robertson SH, Freeman MS, He M, Kelly KT, Roos JE, Rackley CR, Foster WM, McAdams HP, Driehuys B. Single‐breath clinical imaging of hyperpolarized 129xe in the airspaces, barrier, and red blood cells using an interleaved 3D radial 1‐point Dixon acquisition. Magn Reson Med 75: 1434‐1443, 2016.
 182.Kern AL, Gutberlet M, Qing K, Voskrebenzev A, Klimeš F, Kaireit TF, Czerner C, Biller H, Wacker F, Ruppert K. Regional investigation of lung function and microstructure parameters by localized 129Xe chemical shift saturation recovery and dissolved‐phase imaging: A reproducibility study. Magn Reson Med, 81 (1): 13–24, 2019.
 183.Kety S. Measurement of local blood flow by the exchange of an inert, diffusible substance. Methods Med Res 8: 228‐236, 1960.
 184.Kety SS. The theory and applications of the exchange of inert gas at the lungs and tissues. Pharmacol Rev 3: 1‐41, 1951.
 185.Kety SS, Schmidt CF. The nitrous oxide method for the quantitative determination of cerebral blood flow in man: Theory, procedure and normal values. J Clin Invest 27: 476‐483, 1948.
 186.Kotzerke J, Andreeff M, Wunderlich G. PET aerosol lung scintigraphy using Galligas. Eur J Nucl Med Mol Imaging 37: 175‐177, 2010.
 187.Kowallik P, Schulz R, Guth BD, Schade A, Paffhausen W, Gross R, Heusch G. Measurement of regional myocardial blood flow with multiple colored microspheres. Circulation 83: 974‐982, 1991.
 188.Kreck TC, Krueger MA, Altemeier WA, Sinclair SE, Robertson HT, Shade ED, Hildebrandt J, Lamm WJE, Frazer DA, Polissar NL, Hlastala MP. Determination of regional ventilation and perfusion in the lung using xenon and computed tomography. J Appl Physiol (1985) 91: 1741‐1749, 2001.
 189.Kubicek W, Kottke F, Ramos MU, Patterson R, Witsoe D, Labree J, Remole W, Layman T, Schoening H, Garamela J. The Minnesota impedance cardiograph‐theory and applications. Biomed Eng 9 (9): 410‐416, 1974.
 190.Kuethe DO, Caprihan A, Fukushima E, Waggoner RA. Imaging lungs using inert fluorinated gases. Magn Reson Med 39: 85‐88, 1998.
 191.Kuethe DO, Caprihan A, Gach HM, Lowe IJ, Fukushima E. Imaging obstructed ventilation with NMR using inert fluorinated gases. J Appl Physiol (1985) 88: 2279‐2286, 2000.
 192.Kuethe DO, Pietrass T, Behr VC. Inert fluorinated gas T1 calculator. J Magn Reson 177: 212‐220, 2005.
 193.Kunst PW, Vonk Noordegraaf A, Hoekstra OS, Postmus PE, de Vries PM. Ventilation and perfusion imaging by electrical impedance tomography: A comparison with radionuclide scanning. Physiol Meas 19: 481‐490, 1998.
 194.Lamm WJE, Starr IR, Neradilek B, Polissar NL, Glenny RW, Hlastala MP. Hypoxic pulmonary vasoconstriction is heterogeneously distributed in the prone dog. Respir Physiol Neurobiol 144: 281‐294, 2004.
 195.Leawoods J, Yablonskiy D, Saam B, Gierada D, Conradi MS. Hyperpolarized 3He gas production and MR imaging of the lung. Concept Magn Reson 13: 277‐278, 2001.
 196.Lewis SM, Evans JW, Jalowayski AA. Continuous distributions of specific ventilation recovered from inert gas washout. J Appl Physiol Respir Environ Exerc Physiol 44: 416‐423, 1978.
 197.Lionheart WR. EIT reconstruction algorithms: Pitfalls, challenges and recent developments. Physiol Meas 25: 125‐142, 2004.
 198.Lipson D, van Beek E. Functional Lung Imaging. USA: Taylor & Francis, 2005.
 199.MacFall JR, Charles HC, Black RD, Middleton H, Swartz JC, Saam B, Driehuys B, Erickson C, Happer W, Cates GD, Johnson GA, Ravin CE. Human lung air spaces: Potential for MR imaging with hyperpolarized He‐3. Radiology 200: 553‐558, 1996.
 200.Macklem PT. Symbols and abbreviations. Supplement 10. Handbook of Physiology, The Respiratory System, Circulation and Nonrespiratory Functions, Compr Physiol, 2011. DOI: https://doi.org/10.1002/cphy.cp0301fm03.
 201.Magnant J, Vecellio L, de Monte M, Grimbert D, Valat C, Boissinot E, Guilloteau D, Lemarie E, Diot P. Comparative analysis of different scintigraphic approaches to assess pulmonary ventilation. J Aerosol Med 19: 148‐159, 2006.
 202.Mai VM. Hyperpolarized gas and oxygen‐enhanced magnetic resonance imaging. Methods Mol Med 124: 325‐345, 2006.
 203.Mai VM, Bankier AA, Prasad PV, Li W, Storey P, Edelman RR, Chen Q. MR ventilation‐perfusion imaging of human lung using oxygen‐enhanced and arterial spin labeling techniques. J Magn Reson Imaging 14: 574‐579, 2001.
 204.Mai VM, Berr SS. MR perfusion imaging of pulmonary parenchyma using pulsed arterial spin labeling techniques: FAIRER and FAIR. J Magn Reson Imaging 9: 483‐487, 1999.
 205.Mai VM, Chen Q, Bankier AA, Edelman RR. Multiple inversion recovery MR subtraction imaging of human ventilation from inhalation of room air and pure oxygen. Magn Reson Med 43: 913‐916, 2000.
 206.Mai VM, Hagspiel KD, Christopher JM, Do HM, Altes T, Knight‐Scott J, Stith AL, Maier T, Berr SS. Perfusion imaging of the human lung using flow‐sensitive alternating inversion recovery with an extra radiofrequency pulse (FAIRER). Magn Reson Imaging 17: 355‐361, 1999.
 207.Mai VM, Knight‐Scott J, Berr SS. Improved visualization of the human lung in 1H MRI using multiple inversion recovery for simultaneous suppression of signal contributions from fat and muscle. Magn Reson Med 41: 866‐870, 1999.
 208.Mai VM, Liu B, Li W, Polzin J, Kurucay S, Chen Q, Edelman RR. Influence of oxygen flow rate on signal and T(1) changes in oxygen‐enhanced ventilation imaging. J Magn Reson Imaging 16: 37‐41, 2002.
 209.Mai VM, Tutton S, Prasad PV, Chen Q, Li W, Chen C, Liu B, Polzin J, Kurucay S, Edelman RR. Computing oxygen‐enhanced ventilation maps using correlation analysis. Magn Reson Med 49: 591‐594, 2003.
 210.Maier A, Steidl S, Christlein V, Hornegger J. Medical Imaging Systems: An Introductory Guide. Cham Switzerland: Springer, 2018.
 211.Månsson S, Wolber J, Driehuys B, Wollmer P, Golman K. Characterization of diffusing capacity and perfusion of the rat lung in a lipopolysaccaride disease model using hyperpolarized 129Xe. Magn Reson Med 50: 1170‐1179, 2003.
 212.Marcucci C, Nyhan D, Simon BA. Distribution of pulmonary ventilation using Xe‐enhanced computed tomography in prone and supine dogs. J Appl Physiol (1985) 90: 421‐430, 2001.
 213.Melo MFV, Harris RS, Layfield D, Musch G, Venegas JG. Changes in regional ventilation after autologous blood clot pulmonary embolism. Anesthesiology 97: 671‐681, 2002.
 214.Melot C, Naeije R, Mols P, Vandenbossche JL, Denolin H. Effects of nifedipine on ventilation/perfusion matching in primary pulmonary hypertension. Chest 83: 203‐207, 1983.
 215.Melsom MN, Kramer‐Johansen J, Flatebo T, Muller C, Nicolaysen G. Distribution of pulmonary ventilation and perfusion measured simultaneously in awake goats. Acta Physiol Scand 159: 199‐208, 1997.
 216.Mettler FA Jr, Huda W, Yoshizumi TT, Mahesh M. Effective doses in radiology and diagnostic nuclear medicine: A catalog. Radiology 248: 254‐263, 2008.
 217.Miller GW, Altes TA, Brookeman JR, De Lange EE, Mugler JP III. Hyperpolarized 3He lung ventilation imaging with B1‐inhomogeneity correction in a single breath‐hold scan. MAGMA 16: 218‐226, 2004.
 218.Mintun MA, Ter‐Pogossian MM, Green MA, Lich LL, Schuster DP. Quantitative measurement of regional pulmonary blood flow with positron emission tomography. J Appl Physiol (1985) 60: 317‐326, 1986.
 219.Möller W, Felten K, Seitz J, Sommerer K, Takenaka S, Wiebert P, Philipson K, Svartengren M, Kreyling WG. A generator for the production of radiolabelled ultrafine carbonaceous particles for deposition and clearance studies in the respiratory tract. J Aerosol Sci 37: 631‐644, 2006.
 220.Monaghan P, Provan I, Murray C, Mackey DW, Van der Wall H, Walker BM, Jones PD. An improved radionuclide technique for the detection of altered pulmonary permeability. J Nucl Med 32: 1945‐1949, 1991.
 221.Morita Y, Payne BD, Aldea GS, McWatters C, Husseini W, Mori H, Hoffman JI, Kaufman L. Local blood flow measured by fluorescence excitation of nonradioactive microspheres. Am J Physiol 258: H1573‐H1584, 1990.
 222.Mure M, Domino KB, Lindahl SGE, Hlastala MP, Altemeier WA, Glenny RW. Regional ventilation‐perfusion distribution is more uniform in the prone position. J Appl Physiol (1985) 88: 1076‐1083, 2000.
 223.Musch G, Layfield JD, Harris RS, Melo MF, Winkler T, Callahan RJ, Fischman AJ, Venegas JG. Topographical distribution of pulmonary perfusion and ventilation, assessed by PET in supine and prone humans. J Appl Physiol (1985) 93: 1841‐1851, 2002.
 224.Musch G, Venegas JG. Positron emission tomography imaging of regional pulmonary perfusion and ventilation. Proc Am Thorac Soc 2: 522‐527, 508‐529, 2005.
 225.Musch G, Venegas JG. Positron emission tomography imaging of regional lung function. Minerva Anestesiol 72: 363‐367, 2006.
 226.Naidich DP, Marshall CH, Gribbin C, Arams RS, McCauley DI. Low‐dose CT of the lungs: Preliminary observations. Radiology 175: 729‐731, 1990.
 227.Naish JH, Parker GJ, Beatty PC, Jackson A, Young SS, Waterton JC, Taylor CJ. Improved quantitative dynamic regional oxygen‐enhanced pulmonary imaging using image registration. Magn Reson Med 54: 464‐469, 2005.
 228.Newell JC, Blue RS, Isaacson D, Saulnier GJ, Ross AS. Phasic three‐dimensional impedance imaging of cardiac activity. Physiol Meas 23: 203‐209, 2002.
 229.Nyren S, Radell P, Lindahl SG, Mure M, Petersson J, Larsson SA, Jacobsson H, Sanchez‐Crespo A. Lung ventilation and perfusion in prone and supine postures with reference to anesthetized and mechanically ventilated healthy volunteers. Anesthesiology 112: 682‐687, 2010.
 230.O'Doherty MJ, Peters AM. Pulmonary technetium‐99m diethylene triamine penta‐acetic acid aerosol clearance as an index of lung injury. Eur J Nucl Med 24: 81‐87, 1997.
 231.Ohno Y, Hatabu H, Higashino T, Nogami M, Takenaka D, Watanabe H, Van Cauteren M, Yoshimura M, Satouchi M, Nishimura Y, Sugimura K. Oxygen‐enhanced MR imaging: Correlation with postsurgical lung function in patients with lung cancer. Radiology 236: 704‐711, 2005.
 232.Orphanidou D, Hughes JM, Myers MJ, Al‐Suhali AR, Henderson B. Tomography of regional ventilation and perfusion using krypton 81m in normal subjects and asthmatic patients. Thorax 41: 542‐551, 1986.
 233.Parker JA, Coleman RE, Grady E, Royal HD, Siegel BA, Stabin MG, Sostman HD, Hilson AJ, Society of Nuclear Medicine. SNM practice guideline for lung scintigraphy 4.0. J Nucl Med Technol 40: 57‐65, 2012.
 234.Parr DG, Stoel BC, Stolk J, Stockley RA. Validation of computed tomographic lung densitometry for monitoring emphysema in alpha1‐antitrypsin deficiency. Thorax 61: 485‐490, 2006.
 235.Patel S, Kazerooni EA. Helical CT for the evaluation of acute pulmonary embolism. AJR Am J Roentgenol 185: 135‐149, 2005.
 236.Pérez‐Sánchez JM, de Alejo RP, Rodríguez I, Cortijo M, Peces‐Barba G, Ruiz‐Cabello J. In vivo diffusion weighted 19F MRI using SF6. Magn Reson Med 54: 460‐463, 2005.
 237.Petersilka M, Stierstorfer K, Bruder H, Flohr T. Strategies for scatter correction in dual source CT. Med Phys 37: 5971‐5992, 2010.
 238.Petersson J, Ax M, Frey J, Sanchez‐Crespo A, Lindahl SG, Mure M. Positive end‐expiratory pressure redistributes regional blood flow and ventilation differently in supine and prone humans. Anesthesiology 113: 1361‐1369, 2010.
 239.Petersson J, Glenny RW. Imaging regional PAO2 and gas exchange. J Appl Physiol (1985) 113: 340‐352, 2012.
 240.Petersson J, Rohdin M, Sanchez‐Crespo A, Nyren S, Jacobsson H, Larsson SA, Lindahl SG, Linnarsson D, Neradilek B, Polissar NL, Glenny RW, Mure M. Posture primarily affects lung tissue distribution with minor effect on blood flow and ventilation. Respir Physiol Neurobiol 156: 293‐303, 2007.
 241.Petersson J, Rohdin M, Sanchez‐Crespo A, Nyren S, Jacobsson H, Larsson SA, Lindahl SG, Linnarsson D, Neradilek B, Polissar NL, Glenny RW, Mure M. Regional lung blood flow and ventilation in upright humans studied with quantitative SPECT. Respir Physiol Neurobiol 166: 54‐60, 2009.
 242.Petersson J, Sanchez‐Crespo A, Larsson SA, Mure M. Physiological imaging of the lung: Single‐photon‐emission computed tomography (SPECT). J Appl Physiol (1985) 102: 468‐476, 2007.
 243.Petersson J, Sanchez‐Crespo A, Rohdin M, Montmerle S, Nyren S, Jacobsson H, Larsson SA, Lindahl SG, Linnarsson D, Glenny RW, Mure M. Physiological evaluation of a new quantitative SPECT method measuring regional ventilation and perfusion. J Appl Physiol (1985) 96: 1127‐1136, 2004.
 244.Piiper J, Scheid P. Model for capillary‐alveolar equilibration with special reference to O2 uptake in hypoxia. Respir Physiol 46: 193‐208, 1981.
 245.Podolsky A, Eldridge MW, Richardson RS, Knight DR, Johnson EC, Hopkins SR, Johnson DH, Michimata H, Grassi B, Feiner J, Kurdak SS, Bickler PE, Severinghaus JW, Wagner PD. Exercise‐induced VA/Q inequality in subjects with prior high‐altitude pulmonary edema. J Appl Physiol (1985) 81: 922‐932, 1996.
 246.Pracht ED, Arnold JF, Wang T, Jakob PM. Oxygen‐enhanced proton imaging of the human lung using T2. Magn Reson Med 53: 1193‐1196, 2005.
 247.Prince JL, Links JM. Medical Imaging Signals and Systems. Upper Saddle River, NJ: Pearson Prentice Hall, 2006.
 248.Prinzen FW, Bassingthwaighte JB. Blood flow distributions by microsphere deposition methods. Cardiovasc Res 45: 13‐21, 2000.
 249.Prinzen FW, Glenny RW. Developments in non‐radioactive microsphere techniques for blood flow measurement. Cardiovasc Res 28: 1467‐1475, 1994.
 250.Prisk GK, Elliott AR, Guy HJ, Kosonen JM, West JB. Pulmonary gas exchange and its determinants during sustained microgravity on Spacelabs SLS‐1 and SLS‐2. J Appl Physiol (1985) 79: 1290‐1298, 1995.
 251.Prisk GK, Guy HJ, West JB, Reed JW. Validation of measurements of ventilation‐to‐perfusion ratio inequality in the lung from expired gas. J Appl Physiol (1985) 94: 1186‐1192, 2003.
 252.Prisk GK, Hopkins SR. Pulmonary gas exchange. In: Colloquium Series on Integrated Systems Physiology, p. 1. online resource (1 PDF (viii, 77 pages)).
 253.Prisk GK, Lauzon AM, Verbanck S, Elliot AR, Guy HJ, Paiva M, West JB. Anomalous behavior of helium and sulfur hexafluoride during single‐breath tests in sustained microgravity. J Appl Physiol (1985) 80: 1126‐1132, 1996.
 254.Prisk GK, Yamada K, Henderson AC, Arai TJ, Levin DL, Buxton RB, Hopkins SR. Pulmonary perfusion in the prone and supine postures in the normal human lung. J Appl Physiol (1985) 103: 883‐894, 2007.
 255.Radiation dose to patients from radiopharmaceuticals. A report of a task group of committee 2 of the International Commission on Radiological Protection. Ann ICRP 18: 1‐377, 1987.
 256.Radiology, American College. ACR Manual on Contrast Media. Version 10.3. Reston, VA: American College of Radiology, 2017, p. 81‐89.
 257.Rahn H. A concept of mean alveolar air and the ventilation‐blood flow relationships during pulmonary gas exchange. Am J Physiol 158: 21‐30, 1949.
 258.Rahn H, Fenn WO. Graphical Analysis of the Respiratory Gas Exchange: The O2 CO2 Diagram. Bethseda, MD: American Physiological Society, 1955.
 259.Ralph DD, Robertson HT, Weaver LJ, Hlastala MP, Carrico CJ, Hudson LD. Distribution of ventilation and perfusion during positive end‐expiratory pressure in the adult respiratory distress syndrome. Am Rev Respir Dis 131: 54‐60, 1985.
 260.Ramalho J, Semelka RC, Ramalho M, Nunes RH, AlObaidy M, Castillo M. Gadolinium‐based contrast agent accumulation and toxicity: An update. AJNR Am J Neuroradiol 37: 1192‐1198, 2016.
 261.Reinhardt CP, Dalhberg S, Tries MA, Marcel R, Leppo JA. Stable labeled microspheres to measure perfusion: Validation of a neutron activation assay technique. Am J Physiol Heart Circ Physiol 280: H108‐H116, 2001.
 262.Remy‐Jardin M, Mastora I, Remy J. Pulmonary embolus imaging with multislice CT. Radiol Clin North Am 41: 507‐519, 2003.
 263.Remy‐Jardin M, Remy J, Wattinne L, Giraud F. Central pulmonary thromboembolism: Diagnosis with spiral volumetric CT with the single‐breath‐hold technique–Comparison with pulmonary angiography. Radiology 185: 381‐387, 1992.
 264.Rhodes C, Valind S, Brudin L, Wollmer P, Jones T, Buckingham P, Hughes J. Quantification of regional V/Q ratios in humans by use of PET. II. Procedure and normal values. J Appl Physiol 66: 1905‐1913, 1989.
 265.Rhodes C, Valind S, Brudin L, Wollmer P, Jones T, Hughes J. Quantification of regional V/Q ratios in humans by use of PET. I. Theory. J Appl Physiol 66: 1896‐1904, 1989.
 266.Rhodes CG, Hughes JM. Pulmonary studies using positron emission tomography. Eur Respir J 8: 1001‐1017, 1995.
 267.Rice AJ, Thornton AT, Gore CJ, Scroop GC, Greville HW, Wagner H, Wagner PD, Hopkins SR. Pulmonary gas exchange during exercise in highly trained cyclists with arterial hypoxemia. J Appl Physiol (1985) 87: 1802‐1812, 1999.
 268.Richard JC, Pouzot C, Gros A, Tourevieille C, Lebars D, Lavenne F, Frerichs I, Guerin C. Electrical impedance tomography compared to positron emission tomography for the measurement of regional lung ventilation: An experimental study. Crit Care 13: R82, 2009.
 269.Riley RL, Cournand A. Ideal alveolar air and the analysis of ventilation‐perfusion relationships in the lungs. J Appl Physiol 1: 825‐847, 1949.
 270.Riley RL, Cournand A. Analysis of factors affecting partial pressures of oxygen and carbon dioxide in gas and blood of lungs; theory. J Appl Physiol 4: 77‐101, 1951.
 271.Riley RL, Cournand A, Donald KW. Analysis of factors affecting partial pressures of oxygen and carbon dioxide in gas and blood of lungs; methods. J Appl Physiol 4: 102‐120, 1951.
 272.Rizi RR, Baumgardner JE, Ishii M, Spector ZZ, Edvinsson JM, Jalali A, Yu J, Itkin M, Lipson DA, Gefter W. Determination of regional VA/Q by hyperpolarized 3He MRI. Magn Reson Med 52: 65‐72, 2004.
 273.Robertson HT, Glenny RW, Stanford D, McInnes LM, Luchtel DL, Covert D. High‐resolution maps of regional ventilation utilizing inhaled fluorescent microspheres. J Appl Physiol (1985) 82: 943‐953, 1997.
 274.Robertson HT, Hlastala MP. Microsphere maps of regional blood flow and regional ventilation. J Appl Physiol (1985) 102: 1265‐1272, 2007.
 275.Robertson HT, Kreck TC, Krueger MA. The spatial and temporal heterogeneity of regional ventilation: Comparison of measurements by two high‐resolution methods. Respir Physiol Neurobiol 148: 85‐95, 2005.
 276.Robertson HT, Krueger MA, Lamm WJ, Glenny RW. High‐resolution spatial measurements of ventilation‐perfusion heterogeneity in rats. J Appl Physiol (1985) 108: 1395‐1401, 2010.
 277.Robinson PJ, Kreel L. Pulmonary tissue attenuation with computed tomography: Comparison of inspiration and expiration scans. J Comput Assist Tomogr 3: 740‐748, 1979.
 278.Rogosnitzky M, Branch S. Gadolinium‐based contrast agent toxicity: A review of known and proposed mechanisms. Biometals 29: 365‐376, 2016.
 279.Rosenblum LJ, Mauceri RA, Wellenstein DE, Thomas FD, Bassano DA, Raasch BN, Chamberlain CC, Heitzman ER. Density patterns in the normal lung as determined by computed tomography. Radiology 137: 409‐416, 1980.
 280.Rudolph AM, Heymann MA. The circulation of the fetus in utero. Methods for studying distribution of blood flow, cardiac output and organ blood flow. Circ Res 21: 163‐184, 1967.
 281.Ruiz‐Cabello J, Barnett BP, Bottomley PA, Bulte JW. Fluorine (19F) MRS and MRI in biomedicine. NMR Biomed 24: 114‐129, 2011.
 282.Sa RC, Asadi AK, Theilmann RJ, Hopkins SR, Prisk GK, Darquenne C. Validating the distribution of specific ventilation in healthy humans measured using proton MR imaging. J Appl Physiol (1985) 116: 1048‐1056, 2014.
 283.Sa RC, Cronin MV, Henderson AC, Holverda S, Theilmann RJ, Arai TJ, Dubowitz DJ, Hopkins SR, Buxton RB, Prisk GK. Vertical distribution of specific ventilation in normal supine humans measured by oxygen‐enhanced proton MRI. J Appl Physiol (1985) 109: 1950‐1959, 2010.
 284.Sa RC, Henderson AC, Simonson T, Arai TJ, Wagner H, Theilmann RJ, Wagner PD, Prisk GK, Hopkins SR. Measurement of the distribution of ventilation‐perfusion ratios in the human lung with proton MRI: Comparison with the multiple inert‐gas elimination technique. J Appl Physiol (1985) 123: 136‐146, 2017.
 285.Sanchez‐Crespo A, Petersson J, Nyren S, Mure M, Glenny RW, Thorell JO, Jacobsson H, Lindahl SG, Larsson SA. A novel quantitative dual‐isotope method for simultaneous ventilation and perfusion lung SPET. Eur J Nucl Med Mol Imaging 29: 863‐875, 2002.
 286.Sando Y, Inoue T, Nagai R, Endo K. Ventilation/perfusion ratios and simultaneous dual‐radionuclide single‐photon emission tomography with krypton‐81m and technetium‐99m macroaggregated albumin. Eur J Nucl Med 24: 1237‐1244, 1997.
 287.Schembri GP, Miller AE, Smart R. Radiation dosimetry and safety issues in the investigation of pulmonary embolism. Semin Nucl Med 40 (6): 442‐454, 2010. DOI: 10.1053/j.semnuclmed.2010.07.007.
 288.Schimmel C, Frazer D, Glenny RW. Extending fluorescent microsphere methods for regional organ blood flow to 13 simultaneous colors. Am J Physiol Heart Circ Physiol 280: H2496‐H2506, 2001.
 289.Schoepf UJ. Diagnosing pulmonary embolism: Time to rewrite the textbooks. Int J Cardiovasc Imaging 21: 155‐163, 2005.
 290.Scholz AW, Wolf U, Fabel M, Weiler N, Heussel CP, Eberle B, David M, Schreiber WG. Comparison of magnetic resonance imaging of inhaled SF6 with respiratory gas analysis. Magn Reson Imaging 27: 549‐556, 2009.
 291.Schreiber WG, Eberle B, Laukemper‐Ostendorf S, Markstaller K, Weiler N, Scholz A, Bürger K, Heussel CP, Thelen M, Kauczor HU. Dynamic 19F‐MRI of pulmonary ventilation using sulfur hexafluoride (SF6) gas. Magn Reson Med 45: 605‐613, 2001.
 292.Schuster DP, Kaplan JD, Gauvain K, Welch MJ, Markham J. Measurement of regional pulmonary blood flow with PET. J Nucl Med 36: 371‐377, 1995.
 293.Shaker SB, Dirksen A, Laursen LC, Skovgaard LT, Holstein‐Rathlou NH. Volume adjustment of lung density by computed tomography scans in patients with emphysema. Acta Radiol 45: 417‐423, 2004.
 294.Shellock FG, Kanal E. Safety of magnetic resonance imaging contrast agents. J Magn Reson Imaging 10: 477‐484, 1999.
 295.Simon BA. Regional ventilation and lung mechanics using X‐ray CT1. Acad Radiol 12: 1414‐1422, 2005.
 296.Simon BA, Marcucci C, Fung M, Lele SR. Parameter estimation and confidence intervals for Xe‐CT ventilation studies: A Monte Carlo approach. J Appl Physiol (1985) 84: 709‐716, 1998.
 297.Snyder JV, Pennock B, Herbert D, Rinaldo JE, Culpepper J, Good WF, Gur D. Local lung ventilation in critically ill patients using nonradioactive xenon‐enhanced transmission computed tomography. Crit Care Med 12: 46‐51, 1984.
 298.Societies SfRotIUoP. Glossary on respiration and gas exchange. J Appl Physiol 34: 549, 1973.
 299.Stewart G. Researches on the circulation time in organs and on the influences which affect it. J Physiol 15: 1‐89, 1893.
 300.Stewart NJ, Horn FC, Norquay G, Collier GJ, Yates DP, Lawson R, Marshall H, Wild JM. Reproducibility of quantitative indices of lung function and microstructure from 129Xe chemical shift saturation recovery (CSSR) MR spectroscopy. Magn Reson Med 77: 2107‐2113, 2017.
 301.Stickland MK, Lindinger MI, Olfert IM, Heigenhauser GJ, Hopkins SR. Pulmonary gas exchange and acid‐base balance during exercise. Compr Physiol 3: 693‐739, 2013.
 302.Stolk J, Dirksen A, van der Lugt AA, Hutsebaut J, Mathieu J, de Ree J, Reiber JH, Stoel BC. Repeatability of lung density measurements with low‐dose computed tomography in subjects with alpha‐1‐antitrypsin deficiency‐associated emphysema. Invest Radiol 36: 648‐651, 2001.
 303.Strong JC, Agnew JE. The particle size distribution of technegas and its influence on regional lung deposition. Nucl Med Commun 10: 425‐430, 1989.
 304.Suarez‐Sipmann F, Santos A, Bohm SH, Borges JB, Hedenstierna G, Tusman G. Corrections of Enghoff's dead space formula for shunt effects still overestimate Bohr's dead space. Respir Physiol Neurobiol 189: 99‐105, 2013.
 305.Suga K, Nishigauchi K, Kume N, Koike S, Takano K, Tokuda O, Matsumoto T, Matsunaga N. Dynamic pulmonary SPECT of xenon‐133 gas washout. J Nucl Med 37: 807‐814, 1996.
 306.Theilmann RJ, Arai TJ, Samiee A, Dubowitz DJ, Hopkins SR, Buxton RB, Prisk GK. Quantitative MRI measurement of lung density must account for the change in T(2) (*) with lung inflation. J Magn Reson Imaging 30: 527‐534, 2009.
 307.Theilmann RJ, Geier ET, Krueger M, Elliott AR, Lamm W, Darquenne CJ, Niese AT, Hopkins SR, Buxton RB, Scadeng M, Dubowitz D, Asadi A, Sa RC, Prisk G, Glenny RW. Proton MRI to measure lung ventilation: Comparison with aerosolized microsphere measurements in a porcine model. Am J Respir Crit Care Med 197: A5832‐A5832, 2018.
 308.Thompson HK Jr, Starmer CF, Whalen RE, McIntosh HD. Indicator transit time considered as a gamma variate. Circ Res 14: 502‐515, 1964.
 309.Torre‐Bueno JR, Wagner PD, Saltzman HA, Gale GE, Moon RE. Diffusion limitation in normal humans during exercise at sea level and simulated altitude. J Appl Physiol (1985) 58: 989‐995, 1985.
 310.Treppo S, Mijailovich SM, Venegas JG. Contributions of pulmonary perfusion and ventilation to heterogeneity in V(A)/Q measured by PET. J Appl Physiol (1985) 82: 1163‐1176, 1997.
 311.Tsuda A, Henry FS, Butler JP. Particle transport and deposition: Basic physics of particle kinetics. Compr Physiol 3: 1437‐1471, 2013.
 312.van Beek EJ, Hoffman EA. Functional imaging: CT and MRI. Clin Chest Med 29: 195‐216, vii, 2008.
 313.van Beek EJ, Wild JM, Kauczor HU, Schreiber W, Mugler JP III, de Lange EE. Functional MRI of the lung using hyperpolarized 3‐helium gas. J Magn Reson Imaging 20: 540‐554, 2004.
 314.Verbanck S, Paiva M. Gas mixing in the airways and airspaces. Compr Physiol 1: 809‐834, 2011.
 315.Verschakelen JA, Van Fraeyenhoven L, Laureys G, Demedts M, Baert AL. Differences in CT density between dependent and nondependent portions of the lung: Influence of lung volume. AJR Am J Roentgenol 161: 713‐717, 1993.
 316.Victorino JA, Borges JB, Okamoto VN, Matos GF, Tucci MR, Caramez MP, Tanaka H, Sipmann FS, Santos DC, Barbas CS, Carvalho CR, Amato MB. Imbalances in regional lung ventilation: A validation study on electrical impedance tomography. Am J Respir Crit Care Med 169: 791‐800, 2004.
 317.Vidal Melo MF, Layfield D, Harris RS, O'Neill K, Musch G, Richter T, Winkler T, Fischman AJ, Venegas JG. Quantification of regional ventilation‐perfusion ratios with PET. J Nucl Med 44: 1982‐1991, 2003.
 318.Vidal Melo MF, Winkler T, Harris RS, Musch G, Greene RE, Venegas JG. Spatial heterogeneity of lung perfusion assessed with (13)N PET as a vascular biomarker in chronic obstructive pulmonary disease. J Nucl Med 51: 57‐65, 2010.
 319.Vogt B, Pulletz S, Elke G, Zhao Z, Zabel P, Weiler N, Frerichs I. Spatial and temporal heterogeneity of regional lung ventilation determined by electrical impedance tomography during pulmonary function testing. J Appl Physiol (1985) 113: 1154‐1161, 2012.
 320.Wagner PD. Diffusion and chemical reaction in pulmonary gas exchange. Physiol Rev 57: 257‐312, 1977.
 321.Wagner PD, Dantzker DR, Dueck R, Clausen JL, West JB. Ventilation‐perfusion inequality in chronic obstructive pulmonary disease. J Clin Invest 59: 203‐216, 1977.
 322.Wagner PD, Dantzker DR, Iacovoni VE, Tomlin WC, West JB. Ventilation‐perfusion inequality in asymptomatic asthma. Am Rev Respir Dis 118: 511‐524, 1978.
 323.Wagner PD, Naumann PF, Laravuso RB. Simultaneous measurement of eight foreign gases in blood by gas chromatography. J Appl Physiol 36: 600‐605, 1974.
 324.Wagner PD, Smith CM, Davies NJH, Mcevoy RD, Gale GE. Estimation of ventilation‐perfusion inequality by inert‐gas elimination without arterial sampling. J Appl Physiol 59: 376‐383, 1985.
 325.Wagner PD, Sutton JR, Reeves JT, Cymerman A, Groves BM, Malconian MK. Operation Everest II: Pulmonary gas exchange during a simulated ascent of Mt. Everest. J Appl Physiol (1985) 63: 2348‐2359, 1987.
 326.Walker T, Happer W. Spin‐exchange optical pumping of noble‐gas nuclei. Rev Mod Phys 69: 629‐642, 1997.
 327.Walther SM, Domino KB, Glenny RW, Hlastala MP. Pulmonary blood flow distribution in sheep: Effects of anesthesia, mechanical ventilation, and change in posture. Anesthesiology 87: 335‐342, 1997.
 328.Weathersby PK, Homer LD. Solubility of inert gases in biological fluids and tissues: A review. Undersea Biomed Res 7: 277‐296, 1980.
 329.Webb WR, Stern EJ, Kanth N, Gamsu G. Dynamic pulmonary CT: Findings in healthy adult men. Radiology 186: 117‐124, 1993.
 330.Weisskoff RM, Chesler D, Boxerman JL, Rosen BR. Pitfalls in MR measurement of tissue blood flow with intravascular tracers: Which mean transit time? Magn Reson Med 29: 553‐558, 1993.
 331.West JB. Distribution of pulmonary blood flow and ventilation measured with radioactive gases. Scand J Respir Dis Suppl 62: 9‐13, 1966.
 332.West JB. State of the art: Ventilation‐perfusion relationships. Am Rev Respir Dis 116: 919‐943, 1977.
 333.West JB. Causes of and compensations for hypoxemia and hypercapnia. Compr Physiol 1: 1541‐1553, 2011.
 334.West JB. Respiratory Physiology: the Essentials. Lippincott Williams & Wilkins, 2012.
 335.West JB, Dollery CT. Distribution of blood flow and ventilation‐perfusion ratio in the lung, measured with radioactive carbon dioxide. J Appl Physiol 15: 405‐410, 1960.
 336.West JB, Dollery CT, Naimark A. Distribution of blood flow in isolated lung; relation to vascular and alveolar pressures. J Appl Physiol 19: 713‐724, 1964.
 337.West JB, Fowler KT, Hugh‐Jones P, O'Donnell TV. Measurement of the ventilation‐perfusion ratio inequality in the lung by the analysis of a single expirate. Clin Sci 16: 529‐547, 1957.
 338.West JB, Wagner PD. Pulmonary gas exchange. In: West JB, editor. Bioengineering Aspects of the Lung. New York and Basel: Marcel Dekker, 1977, p. 361‐457.
 339.Wilke N, Jerosch‐Herold M, Stillman AE, Kroll K, Tsekos N, Merkle H, Parrish T, Hu X, Wang Y, Bassingthwaighte J, Bache RJ, Ugurbil K. Concepts of myocardial perfusion imaging in magnetic resonance imaging. Magn Reson Q 10: 249‐286, 1994.
 340.Winkler SS, Holden JE, Sackett JF, Flemming DC, Alexander SC. Xenon and krypton as radiographic inhalation contrast media with computerized tomography: Preliminary note. Invest Radiol 12: 19‐20, 1977.
 341.Winkler SS, Sackets JF, Holden JE, Alexander SC, Medsen M, Kimol RL. Xenon inhalation as an adjunct to computerized tomography of the brain‐preliminary study. Invest Radiol 11: 360, 1976.
 342.Winkler SS, Sackett JF, Holden JE, Flemming DC, Alexander SC, Madsen M, Kimmel RI. Xenon inhalation as an adjunct to computerized tomography of the brain: Preliminary study. Invest Radiol 12: 15‐18, 1977.
 343.Wolf U, Scholz A, Heussel CP, Markstaller K, Schreiber WG. Subsecond fluorine‐19 MRI of the lung. Magn Reson Med 55: 948‐951, 2006.
 344.Won C, Chon D, Tajik J, Tran BQ, Robinswood GB, Beck KC, Hoffman EA. CT‐based assessment of regional pulmonary microvascular blood flow parameters. J Appl Physiol (1985) 94: 2483‐2493, 2003.
 345.Xia T, Alessio AM, Kinahan PE. Dual energy CT for attenuation correction with PET/CT. Med Phys 41: 012501, 2014.
 346.Yang J, Wan M, Guo Y. Pulmonary functional MRI: An animal model study of oxygen‐enhanced ventilation combined with Gd‐DTPA‐enhanced perfusion. Chin Med J (Engl) 117: 1489–1496, 2004.
 347.Yeh SY, Peterson RE. Solubility of krypton and xenon in blood, protein solutions, and tissue homogenates. J Appl Physiol 20: 1041‐1047, 1965.
 348.Yuan R, Mayo JR, Hogg JC, Pare PD, McWilliams AM, Lam S, Coxson HO. The effects of radiation dose and CT manufacturer on measurements of lung densitometry. Chest 132: 617‐623, 2007.
 349.Zeltner TB, Sweeney TD, Skornik WA, Feldman HA, Brain JD. Retention and clearance of 0.9‐micron particles inhaled by hamsters during rest or exercise. J Appl Physiol (1985) 70: 1137‐1145, 1991.
 350.Zeman KL, Wu J, Donaldson SH, Bennett WD. Comparison of 133Xenon ventilation equilibrium scan (XV) and 99mTechnetium transmission (TT) scan for use in regional lung analysis by 2D gamma scintigraphy in healthy and cystic fibrosis lungs. J Aerosol Med Pulm Drug Deliv 26: 94‐100, 2013.
 351.Zwirewich CV, Mayo JR, Muller NL. Low‐dose high‐resolution CT of lung parenchyma. Radiology 180: 413‐417, 1991.

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Susan R. Hopkins. Ventilation/Perfusion Relationships and Gas Exchange: Measurement Approaches. Compr Physiol 2020, 10: 1155-1205. doi: 10.1002/cphy.c180042