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Abstract #3919

Robust Diffusion-Weighted Imaging with Deep Learning-Based DW PROPELLER Reconstruction

Xinzeng Wang1, Ali Ersoz2, Daniel Litwiller3, Jingfei Ma4, Jason Stafford4, and Ersin Bayram1
1GE Healthcare, Houston, TX, United States, 2GE Healthcare, Waukesha, WI, United States, 3GE Healthcare, Denver, CO, United States, 4MD Anderson Cancer Center, Houston, TX, United States


Compared to DW-EPI, DW PROPELLER is less sensitive to susceptibility, chemical shift, and motion, and thus shows better image quality in areas, such as skull base, head-neck and pelvis. However, the SNR and in-plane resolution of DW PROPELLER images are often inferior to DW-EPI and often requires a longer scan time to compensate for this. In this work, we evaluated a deep-learning reconstruction method to improve the SNR of in-plane resolution of DW PROPELLER images without increasing acquisition time.

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