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Abstract #2998

Motion Robust High-Resolution Pelvic Imaging using PROPELLER and Deep Learning Reconstruction

Ali Pirasteh1, Lloyd Estkowski2, Daniel Litwiller3, Ersin Bayram4, and Xinzeng Wang5
1Department of Radiology, UW Madison, Madison, WI, United States, 2Global MR Applications & Workflow, GE Healthcare, Madison, WI, United States, 3Global MR Applications & Workflow, GE Healthcare, Denver, CO, United States, 4Global MR Applications & Workflow, GE Healthcare, Houston, TX, United States, 5GE Healthcare, Houston, TX, United States

We evaluated the utility of PROPELLER T2 FSE with deep-learning (DL) reconstruction in the setting of prostate and rectal imaging, with the goal of overcoming respiratory and peristaltic motion, improving image sharpness, and achieving high-resolution imaging within a comparable scan time to the traditional T2 FSE techniques. We demonstrated that in absence of DL reconstruction, the PROPELLER T2 FSE images suffer from excessive noise and lower subjective quality. However, with utilization of DL reconstruction, High-resolution and motion robust images were obtained at clinically acceptable scan times.

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