Abstract #0992

High-Resolution Multishot Diffusion-Weighted Body and Breast MRI using Locally Low-rank regularization

Yuxin Hu^1,2, Evan G. Levine^1,2, Catherine J. Moran¹, Valentina Taviani³, Shreyas Vasanawala¹, Bruce L. Daniel^1,4, and Brian Hargreaves^1,2,4

¹Department of Radiology, Stanford University, Stanford, CA, United States, ²Department of Electrical Engineering, Stanford University, Stanford, CA, United States, ³GE Healthcare, Menlo Park, CA, United States, ⁴Department of Bioengineering, Stanford University, Stanford, CA, United States

Multishot imaging has been shown to provide high resolution diffusion-weighted images (DWIs) with reduced distortion, however, significant aliasing artifacts and signal cancellation still occur due to the mismatch of the motion-induced phase between different shots. Several proposed SENSE-based methods without using navigators work well for brain DWI. However, these methods may fail when phase variations are more complex, in body DWI. In this work, we circumvent the challenging phase estimation step and efficiently solve this problem by using a locally low-rank reconstruction approach. The proposed reconstruction enables high resolution imaging with reduced geometric distortion compared with other approaches.

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