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Abstract #2276

Deep Learning Reconstruction for Turbo Spin Echo Imaging to Accelerate Ankle MRI: A Multi-Reader Study

Yuxue Xie1, Xiangwen Li1, Yiwen Hu1, Caixia Fu2, Qing Li3, Dominik Nickel4, Hongyue Tao1, and Shuang Chen1
1Huashan hospital, Shanghai, China, 2Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 3Siemens Healthineers, Shanghai, China, 4Siemens Healthineers, Erlangen, Germany

Synopsis

Keywords: Whole Joint, MSK

Motivation: Ankle MRI usually requires a long examination time. A faster scan with adequate image qualities is desired in clinical practice.

Goal(s): To evaluate a deep-learning reconstruction accelerated turbo spin echo (DLR-TSE) sequence in ankle application.

Approach: Four radiologists independently assessed the image quality and reviewed structural abnormalities of 56 consecutive patients on DLR-TSE and compared these results with those of conventional TSE.

Results: Overall, DLR-TSE achieved superior image qualities with a 57.4% reduction in total acquisition time compared with conventional TSE images. There were no differences in the differentiation of anatomic details, diagnostic confidence, or assessments of structural abnormalities between the two techniques.

Impact: Deep learning reconstruction can accelerate the turbo spin echo imaging without compromising the image quality or lesion detectability in ankle MRI.

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Keywords