351-02-002 / 351-02-002 ISMRM Abstract

Enhancing Supraspinatus Visualization Using Deep Learning-Reconstructed TSE MRI: A Qualitative and Quantitative Analysis

Primary: Musculoskeletal - Tendon/Ligament

Secondary: Acquisition & Reconstruction - Image Reconstruction: AI

351-02-002 · MSK: Everything, Everywhere, and All at Once · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 1

Keywords: Deep learning reconstruction Supraspinatus

Accepted

Wanqing Gong ¹, Wei Chen², Zhenmeng Sun³, Xiaoqian Tian¹, Kun Liu¹, Tingting Zhang¹

¹Department of Radiology, Yichang Central People’s Hospital, Yichang, China

²MR Research Collaboration Team, Siemens Healthineers Ltd., Guangzhou, Guang Zhou, China

³MR Customer Application, Guangzhou, China

Presenting Author: Wanqing Gong

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References

1. Herrmann, J., et al. (2021). "Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging." Diagnostics 11(8).

2. Xie, Y., et al. (2024). "Prospective Comparison of Standard and Deep Learning–reconstructed Turbo Spin-Echo MRI of the Shoulder." Radiology 310(1).

3. Wessling, D., et al. (2022). "Reduction in Acquisition Time and Improvement in Image Quality in T2-Weighted MR Imaging of Musculoskeletal Tumors of the Extremities Using a Novel Deep Learning-Based Reconstruction Technique in a Turbo Spin Echo (TSE) Sequence." Tomography 8(4): 1759-1769.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/351-02-002