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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