Abstract #3050

Inherent correction of both geometric distortion and motion-induced aliasing artifacts in multi-shot diffusion-weighted EPI

Mei-Lan Chu¹, Arnaud Guidon², Hing-Chiu Chang³, and Nan-kuei Chen¹

¹Brain Imaging and Analysis Center, Duke University, Durham, NC, United States, ²Global MR Applications and Workflow, GE Healthcare, Boston, MA, United States, ³Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong

A new reconstruction framework is developed to simultaneously correct geometric distortion and motion-induced aliasing artifacts in multi-shot DW-EPI data without relying on additional calibration scan or field mapping. Through reversing the polarity of phase-encoding gradient between interleaves in multi-shot EPI, the field inhomogeneities and segment-specific phase information can be inherently estimated from DW-EPI data. High-quality DWI images free from distortions and aliasing artifacts can then be reconstructed with our new POCSMUSE method that uses coil sensitivity profiles, shot-to-shot phase variations, and field inhomogeneities as the input.

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