Abstract #4229

Multi-shot sensitivity encoded diffusion data recovery using structured low-rank matrix completion (MUSSELS)

Merry Mani¹, Mathews Jacob², Douglas Kelley³, and Vincent Magnotta⁴

¹Dept. of Psychiatry, University of Iowa, Iowa City, IA, United States, ²Dept. of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, United States, ³General Electric Healthcare Technologies, San Francisco, CA, United States, ⁴Dept of Radiology, University of Iowa, Iowa City, IA, United States

Multi-shot diffusion imaging holds great potential for enabling high spatial resolution diffusion imaging as well as short echo time imaging to enhance studies at higher field strengths. Conventional reconstructions rely on motion-induced phase estimates to recover the diffusion-weighted images from multi-shot acquisitions. Since a good estimate of phase cannot be obtained in many situations either due to noisy data or high under-sampling, these methods are unreliable in such situations. Here we propose a new reconstruction for multi-shot diffusion imaging that recovers the missing k-space data of the multiple shots by formulating the recovery as a structured low-rank matrix completion problem.

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