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Abstract #4356

Accelerating Navigator-free Multi-shot Spiral DTI via Joint Calibrationless Reconstruction with Low-Rank Tensor Completion

Xiaodong Ma1,2, Yilong Liu1,2, Zheyuan Yi1,2,3, Alex T. Leong1,2, Hua Guo4, and Ed X. Wu1,2
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, China, 2Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China, 3Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China, 4Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China

We propose a novel joint calibrationless reconstruction for accelerating multi-shot navigator-free DTI, using a low-rank completion approach. The redundant information across different directions is utilized to facilitate the reconstruction, including sharable coil sensitivities and anatomical structures. A 3D Hankel tensor was constructed and its concatenated Hankel matrices were used for low-rank approximation. In vivo human brain DTI experiment shows that the proposed joint reconstruction can reduce artifacts in diffusion-weighted images, and yield more accurate DTI metrics, when compared with separate reconstruction for different directions. This method also presents a new potential reconstruction strategy for fast high-resolution DTI.

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