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Abstract #4345

Phase-Constrained Reconstruction of High-Resolution Multi-shot Diffusion Weighted Image

Yiman Huang1, Xinlin Zhang1, Hua Guo2, Huijun Chen2, Di Guo3, and Xiaobo Qu1
1Department of Electronic Science, Xiamen University, Xiamen, China, 2School of Medicine, Tsinghua University, Beijing, China, 3School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China

Multi-shot DWI improves the image resolution, while it induces phase variation at the same time. We introduce a smooth phase constraint of each shot image into multi-shot DWI reconstruction procedures by imposing the low-rankness of Hankel matrix constructed from the k-space data. The image is further improved with a partial sum of singular values in low-rank matrix reconstruction. Results on brain imaging data show that the proposed method outperforms the state-of-the-art methods in terms of artifacts removal and is compatible to partial Fourier sampling in accelerated DWI.

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