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Abstract #4908

High Spatiotemporal Resolution 4D-MRI for Evaluation of Spatially Resolved Pulmonary Function

Hersh Chandarana1,2, Li Feng1,2, David Smith2, Jean Delacoste3, David Stoffel2, Priya Bhattacharji2, Hoi Cheung Zhang2, Thomas Benkert1,2, Daniel K Sodickson1,2, Matthias Stuber3, Kai Tobias Block1,2, and Ricardo Otazo1,2

1Center of Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.

Spirometry provides global measures of lung function, whereas CT provides morphologic information but limited functional information. Current tests are limited in providing spatially resolved function of each lung separately. To address this need, we have developed a 4D ultra-short echo time MRI method where respiratory motion information is extracted directly from the acquired k-space data during normal and deep breathing maneuvers, and motion-resolved reconstruction is performed to extract spatially resolved functional information of each lung. Such a method will improve the ability to diagnose and manage Chronic Obstructive Pulmonary Disease, which is a major cause of death worldwide.

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