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Abstract #3537

The influence of Sampling on Compressed Sensing accelerated high resolution Vessel Wall Imaging

Sen Jia1,2, Jing Cheng1,2, Lei Zhang2, Xin Liu2, and Dong Liang2

1University of Chinese Academy of Sciences, Shenzhen, China, 2Shenzhen Institutes of Advanced Technology, Shenzhen, China

This study aims to accelerate high resolution whole brain and neck vessel wall imaging using combined Compressed Sensing and Parallel Imaging. The influence of sampling choices with different control of sampling density and randomness on CSPI reconstruction were investigated on retrospectively and prospectively accelerated in vivo datasets, with emphasis on the sharpness of vessel wall borders which was critically demanded by detecting potential vessel wall thickening and atherosclerotic plaques for ischemic stroke patients.

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