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Abstract #0465

Joint Virtual Coil Reconstruction with Background Phase Matching for Highly Accelerated Diffusion Echo-Planar Imaging

Congyu Liao1,2, Mary Kate Manhard2, Berkin Bilgic2, Qiuyun Fan2, Haifeng Wang2,3, Sohyun Han2, Daniel Joseph Park2, Fuyixue Wang4, Jianhui Zhong1, Lawrence L Wald2, and Kawin Setsompop2

1Department of Biomedical Engineering, Zhejiang University, Hangzhou, China, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 4Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States

We proposed a joint-virtual-coil (VC) acquisition/reconstruction method to improve accelerated single-shot EPI (SS-EPI) in diffusion imaging (DI). A background phase correction scheme for matching the phase of reference training data with accelerated diffusion-weighted data was developed for robust reconstruction. Additional Gy prewinding-blips were added to the EPIs, to create complementary shifted-ky sampling strategy across TRs, which help better utilizes smooth-phase and joint-information priors in the joint-virtual-coil (jVC) reconstruction. The proposed method was demonstrated in highly-accelerated DI with SS-EPI and extended to generalized slice dithered enhanced resolution (gSlider) acquisition to achieve efficient high-resolution DI.

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