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Abstract #4446

High resolution diffusion weighted imaging on pancreas through reduced FOV and compressed SENSE: a feasibility study

Yajing Zhang1, Zhigang Wu2, Wengu Su3, Jiazheng Wang4, Yan Zhao5, and Marc Van Cauteren6
1MR Clinical Science, Philips Health Technology, Suzhou, China, 2Philips Healthcare (China), Shenzhen, China, 3MR Application, Philips Health Technology, Suzhou, China, 4Philips Healthcare (China), Beijing, China, 5MR R&D, Philips Health Technology, Suzhou, China, 6Philips Healthcare, Tokyo, Japan

Synopsis

Keywords: Pancreas, Data Acquisition

Pancreas imaging remains challenging because of its small size and motion, and conventional diffusion weighted imaging (DWI) suffers from poor image quality due to low signal-to-noise (SNR) and image blurring. This study performs several schemes to achieve high resolution high image quality pancreas DWI with reduced FOV using Compressed SENSE.

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Keywords