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Abstract #4328

Axial T2-weighted MR imaging of the cervical spine using PROPELLER with deep learning reconstruction to improve image quality

You Seon Song1, In Sook Lee1, Moon jung Hwang2, Kyungeun Jang2, Maggie Fung3, and Xinzeng Wang4
1Pusan National University Hospital, Busan, Korea, Republic of, 2GE Healthcare Korea, Seoul, Korea, Republic of, 3GE Healthcare, New York, NY, United States, 4GE Healthcare, Houston, TX, United States


We evaluated the utility of PROPELLER T2 FSE with deep-learning (DL) reconstruction in the cervical spine MRI, with the goal of overcoming respiratory and swallowing motion, improving image sharpness, and achieving high-resolution imaging within a comparable scan time to the conventional T2 FSE sequences. With utilization of DL reconstruction, the axial PROPELLER T2 was able to obtain images with high resolution and reduced noise.

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