Diffusion-weighted imaging (DWI) using single-shot EPI (ssEPI) has suffered from distortion, blurring, and signal loss caused by B0 inhomogeneity. SENSE can be used to reduce distortion. However, it also suffers from noise breakthrough issues when the accelerator factor is high. It’s still a challenge to get DWI images with reduced distortion and high SNR without significantly increasing the scan time. We propose a framework that combines FSL top-up technique, Compressed Sensing and SENSE framework simultaneously to overcome these challenges. This framework allows a new solution for ssEPI based diffusion imaging with high resolution, low distortion, and without noise breakthrough issue.
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