Abstract #0465

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

Congyu Liao^1,2, Mary Kate Manhard², Berkin Bilgic², Qiuyun Fan², Haifeng Wang^2,3, 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 G_y prewinding-blips were added to the EPIs, to create complementary shifted-k_y 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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