Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
569-03-006 ISMRM Abstract

Validation and Feasibility of Fast Knee MRI Using a Deep Learning-Assisted 3D Iterative Image Enhancement System

Primary: Musculoskeletal - Whole Joint
Secondary: Analysis Methods - Image Enhancement
569-03-006 · Super-Resolving MRI: Methods and Applications · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row J
Keywords: Deep learning reconstruction Knee Joint Cartilage Super-resolution reconstruction
Accepted
xiaoqing Wu 1, Xi Zhu2, Jie Shi3,4, Jing Ye5, Wennuo Huang5, Wei Xia5
1Dalian Medical University, Dalian, China
2Department of Radiology, Northern Jiangsu People’s Hospital, Yangzhou, China
3MR Research, Beijing, China
4MR Research, GE HealthCare, shanghai, China
5Northern Jiangsu People’s Hospital, Yangzhou, China
Presenting Author: xiaoqing Wu

Synopsis

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References

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8. Shakoor D, Kijowski R, Guermazi A, et al. Diagnosis of Knee Meniscal Injuries by Using Three-dimensional MRI: A Systematic Review and Meta-Analysis of Diagnostic Performance. Radiology. 2019;290(2):435-445. doi:10.1148/radiol.2018181212 [doi]
9. 9.Vosshenrich J, Fritz J. Beschleunigte muskuloskeletale Magnetresonanztomographie mit Deep-Learning-gestützter Bildrekonstruktion bei 0,55 T–3 T [Accelerated musculoskeletal magnetic resonance imaging with deep learning-based image reconstruction at 0.55 T-3 T]. Radiologie (Heidelb). 2024;64(10):758-765. doi:10.1007/s00117-024-01325-w [doi]
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11. Hahn S, Yi J, Lee HJ, et al. Image Quality and Diagnostic Performance of Accelerated Shoulder MRI With Deep Learning-Based Reconstruction. AJR Am J Roentgenol. 2022;218(3):506-516. doi:10.2214/AJR.21.26577 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/569-03-006