2016
DOI: 10.1016/j.acra.2016.07.014
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Using Hyperpolarized 129Xe MRI to Quantify the Pulmonary Ventilation Distribution

Abstract: Background-Ventilation heterogeneity is impossible to detect with spirometry. Alternatively, pulmonary ventilation can be imaged 3-dimensionally using inhaled 129 Xe MRI. To date such images have been quantified primarily based on ventilation defects. Here, we introduce a robust means to transform 129 Xe MRI scans such that the underlying ventilation distribution and its heterogeneity can be quantified.

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Cited by 74 publications
(93 citation statements)
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“…These clusters each span an intensity range equal to one standard deviation of the ventilation reference distribution derived from a healthy cohort 31 . The barrier and RBC images were divided on a voxel-by-voxel basis by the gas-phase intensities to create maps of barrier uptake and RBC transfer.…”
Section: Methodsmentioning
confidence: 99%
“…These clusters each span an intensity range equal to one standard deviation of the ventilation reference distribution derived from a healthy cohort 31 . The barrier and RBC images were divided on a voxel-by-voxel basis by the gas-phase intensities to create maps of barrier uptake and RBC transfer.…”
Section: Methodsmentioning
confidence: 99%
“…The bin widths and locations were derived based on a reference population consisting of 12 normal subjects. 23 In these maps, green represents normal ventilation, yellow/orange depicts low ventilation, and red indicates minimal or no ventilation. Blue color depicts regions with high ventilation.…”
Section: Methodsmentioning
confidence: 99%
“…These maps enable quantitative and unbiased reporting of the percentage of lung volume falling into each category of ventilation, as shown and validated in our previous study. 23 Similarly, color coded binning maps were generated to characterize regional 129 Xe uptake by red blood cells. 24 …”
Section: Methodsmentioning
confidence: 99%
“…Hyperpolarized helium 3 ( 3 He) MR imaging has been shown to be a sensitive measure of ventilation heterogeneity in asthma (7,8). Although numerous metrics have been derived to describe ventilation heterogeneity from both hyperpolarized xenon 129 ( 129 Xe) and 3 He images by using texture-based methods like feature analysis or clustering methods such as k-means clustering (9)(10)(11)(12), efforts have been focused on cross-sectional assessment of cohorts. Longitudinal studies and therapy assessment have focused on global outcome measures from hyperpolarized 3 He imaging, in particular percentage ventilated volume (%VV) or its counterpart, percentage defect volume (7,13).…”
Section: Study Population and Designmentioning
confidence: 99%