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Abstract #5336

Phase Inconsistency Compensated Multi-shot Diffusion Image Reconstruction with Locally Low-Rank Constraint

Ziwu Zhou1, Fei Han1, Yu Gao1, Yingli Yang2, and Peng Hu1

1Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States

Multi-shot diffusion imaging is a promising technique to achieve high-resolution visualization of the microstructure of the issue. However, phase variations induced by physiological motion among different shots remains to be a challenge. To improve the reconstruction accuracy, we propose a novel reconstruction method that integrates the information of phase variation within a compressed sensing framework, and exploits the data redundancy using locally low-rank constraint after phase inconsistency is taken care of.

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