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Abstract #3095

Shoulder PROPELLER MRI with Deep learning-based reconstruction: image quality and agreement between standard and accelerated sequence

Jisook Yi1, Ho-Joon Lee1, Seok Hahn1, Joonsung Lee2, Xinzeng Wang3, and Maggie Fung4
1Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea, Republic of, 2GE Healthcare, Seoul, Korea, Republic of, 3GE Healthcare, Houston, TX, United States, 4GE Healthcare, New York, NY, United States


Although the shorter scan time enabled by DLRecon has potential to reduce motion related image degradation, it cannot remove or mitigate such artifacts. The periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) or similar techniques can reduce motion artifacts in shoulder MRI, however usually takes a longer time to acquire. Recently, DLRecon for PROPELLER has been developed. Accelerated PROPELLER sequence with DLRecon showed improved image quality and comparable interobserver agreement for shoulder pathology compared to standard PROPELLER acquisition with conventional reconstruction, despite the shorter scan time (45% reduction).

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