Ziyi Wang1,2, Scott Haile Robertson1,3, Jennifer Wang4, Mu He1,5, Rohan S Virgincar1,2, Geoffry M Schrank1, Elianna A Bier1,3, Sudarshan Rajagopal6, Yuh Chin Huang7, Thomas G O'Riordan8, Craig R Rackley7, H Page McAdams9, Bastiaan Driehuys1,2,3,9. 1. Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, 27710, USA. 2. Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA. 3. Medical Physics Graduate Program, Duke University, Durham, NC, 27705, USA. 4. School of Medicine, Duke University, Durham, NC, 27710, USA. 5. Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA. 6. Division of Cardiology, Duke University Medical Center, Durham, NC, 27710, USA. 7. Department of Medicine, Division of Pulmonary, Allergy and Critical Care, Duke University Medical Center, Durham, NC, 27710, USA. 8. Gilead Sciences, Foster City, CA, 94404, USA. 9. Department of Radiology, Duke University Medical Center, Durham, NC, 27710, USA.
Abstract
PURPOSE: Hyperpolarized 129 Xe magnetic resonance imaging (MRI) using Dixon-based decomposition enables single-breath imaging of 129 Xe in the airspaces, interstitial barrier tissues, and red blood cells (RBCs). However, methods to quantitatively visualize information from these images of pulmonary gas transfer are lacking. Here, we introduce a novel method to transform these data into quantitative maps of pulmonary ventilation, and 129 Xe gas transfer to barrier and RBC compartments. METHODS: A total of 13 healthy subjects and 12 idiopathic pulmonary fibrosis (IPF) subjects underwent thoracic 1 H MRI and hyperpolarized 129 Xe MRI with one-point Dixon decomposition to obtain images of 129 Xe in airspaces, barrier and red blood cells (RBCs). 129 Xe images were processed into quantitative binning maps of all three compartments using thresholds based on the mean and standard deviations of distributions derived from the healthy reference cohort. Binning maps were analyzed to derive quantitative measures of ventilation, barrier uptake, and RBC transfer. This method was also used to illustrate different ventilation and gas transfer patterns in a patient with emphysema and one with pulmonary arterial hypertension (PAH). RESULTS: In the healthy reference cohort, the mean normalized signals were 0.51 ± 0.19 for ventilation, 4.9 ± 1.5 x 10-3 for barrier uptake and 2.6 ± 1.0 × 10-3 for RBC (transfer). In IPF patients, ventilation was similarly homogenous to healthy subjects, although shifted toward slightly lower values (0.43 ± 0.19). However, mean barrier uptake in IPF patients was nearly 2× higher than in healthy subjects, with 47% of voxels classified as high, compared to 3% in healthy controls. Moreover, in IPF, RBC transfer was reduced, mainly in the basal lung with 41% of voxels classified as low. In healthy volunteers, only 15% of RBC transfer was classified as low and these voxels were typically in the anterior, gravitationally nondependent lung. CONCLUSIONS: This study demonstrates a straightforward means to generate semiquantitative binning maps depicting 129 Xe ventilation and gas transfer to barrier and RBC compartments. These initial results suggest that the method could be valuable for characterizing both normal physiology and pathophysiology associated with a wide range of pulmonary disorders.
PURPOSE: Hyperpolarized 129 Xe magnetic resonance imaging (MRI) using Dixon-based decomposition enables single-breath imaging of 129 Xe in the airspaces, interstitial barrier tissues, and red blood cells (RBCs). However, methods to quantitatively visualize information from these images of pulmonary gas transfer are lacking. Here, we introduce a novel method to transform these data into quantitative maps of pulmonary ventilation, and 129 Xe gas transfer to barrier and RBC compartments. METHODS: A total of 13 healthy subjects and 12 idiopathic pulmonary fibrosis (IPF) subjects underwent thoracic 1 H MRI and hyperpolarized 129 Xe MRI with one-point Dixon decomposition to obtain images of 129 Xe in airspaces, barrier and red blood cells (RBCs). 129 Xe images were processed into quantitative binning maps of all three compartments using thresholds based on the mean and standard deviations of distributions derived from the healthy reference cohort. Binning maps were analyzed to derive quantitative measures of ventilation, barrier uptake, and RBC transfer. This method was also used to illustrate different ventilation and gas transfer patterns in a patient with emphysema and one with pulmonary arterial hypertension (PAH). RESULTS: In the healthy reference cohort, the mean normalized signals were 0.51 ± 0.19 for ventilation, 4.9 ± 1.5 x 10-3 for barrier uptake and 2.6 ± 1.0 × 10-3 for RBC (transfer). In IPFpatients, ventilation was similarly homogenous to healthy subjects, although shifted toward slightly lower values (0.43 ± 0.19). However, mean barrier uptake in IPFpatients was nearly 2× higher than in healthy subjects, with 47% of voxels classified as high, compared to 3% in healthy controls. Moreover, in IPF, RBC transfer was reduced, mainly in the basal lung with 41% of voxels classified as low. In healthy volunteers, only 15% of RBC transfer was classified as low and these voxels were typically in the anterior, gravitationally nondependent lung. CONCLUSIONS: This study demonstrates a straightforward means to generate semiquantitative binning maps depicting 129 Xe ventilation and gas transfer to barrier and RBC compartments. These initial results suggest that the method could be valuable for characterizing both normal physiology and pathophysiology associated with a wide range of pulmonary disorders.
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