Abstract #4356

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

Xiaodong Ma^1,2, Yilong Liu^1,2, Zheyuan Yi^1,2,3, Alex T. Leong^1,2, Hua Guo⁴, and Ed X. Wu^1,2

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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