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Abstract #2159

Human Lung Morphometry using Hyperpolarized 129Xe Multi-b Diffusion MRI with Compressed Sensing

Huiting Zhang1,2, Junshuai Xie2, Sa Xiao2, Xian Chen2, Xiuchao Zhao2, Ke Wang3, Guangyao Wu3, Chaohui Ye1,2, and Xin Zhou2

1School of Physics, Huazhong University of Science and Technology, Wuhan, People's Republic of China, 2Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, People's Republic of China, 3Department of Magnetic Resonance Imaging, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China

This work is to investigate the feasibility of compressed sensing (CS) on the morphologic measurement of lung microstructure using hyperpolarized 129Xe diffusion magnetic resonance imaging (MRI). The fully sampled (FS) and prospective CS multi-b diffusion MRI data were obtained from five healthy subjects and one COPD patient, respectively. The maps and global average values of mean linear intercept length (Lm) were calculated using cylinder model. The results were compared between FS and CS method for all subjects. The difference between FS and CS ranged from -2.3% to 7.2%. A highly Person’s correlation (R=0.988) between FS and CS was presented.

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