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Abstract #2886

Comparison of AI-assisted Compressed Sensing (ACS) and Conventional Two-Dimensional Sequences on Lumbar Spine Imaging

He Sui1, Yu Gong2, Yunfei Zhang3, Yongming Dai3, and Zhanhao Mo1
1China-Japan Union Hospital of Jilin University, Changchun, China, 2Linyi People’s Hospital, Linyi, China, 3Central Research Institute, United Imaging Healthcare, Shanghai, China


MRI is widely used in the diagnosis of spinal diseases, but due to the limitation of long scanning time, it is often difficult for patients to tolerate. This study aims at exploring whether the ACS (AI-assisted Compressed Sensing) accelerated sequences can assure similar image quality and diagnostic accuracy of lumbar spine diseases compared to 2D conventional sequences. Results suggested that 2D ACS sequence has become a well-anticipated technique for routine examination of lumbar spine and lumbar spine lesions diagnosis, while ensuring high image quality and reduced scan time effectively than traditional 2D sequences in MRI.

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