Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
565-06-002 Registered Abstract

Evaluation of a Deep Learning MR Reconstruction Model for Accelerating Clinical Knee Exams

Primary: Musculoskeletal - Whole Joint
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
565-06-002 · Diagnostic Utility of Advanced Techniques in MSK Applications · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row F
Keywords: MSK Deep learning reconstruction Knee
Accepted
Emma Bahroos 1, Quin Lu2, Michael Carl2, Ajeetkumar Gaddipati2, Alexandra S Gersing1, maggie fung2, Thomas M Link1, Sharmila Majumdar1
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, United States of America
2MR Clinical Solutions, GE HealthCare, San Ramon, United States of America
Presenting Author: Emma Bahroos

Synopsis

Motivation:
Goals:
Approach:
Hypothesis:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Dratsch T, Zäske C, Siedek F, Rauen P, Große Hokamp N, Sonnabend K, Maintz D, Bratke G, Iuga A. Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers. Eur Radiol Exp. 2024;8:47. doi: 10.1186/s41747-024-00446-0. [doi]
2. Johnson P M, Lin D J, Zbontar J, Zitnick C L, Sriram A, Muckley M, Babb J S, Kline M, Ciavarra G, Alaia E, Samim M, Walter W R, Calderon L, Pock T, Sodickson D K, Recht M P, Knoll F. Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI. Radiology. 2023 Apr;307(2):e220425. doi:10.1148/radiol.220425. PMID: 36648347; PMCID: PMC10102623. [doi] [pmid]
3. Kim S., Park H., Park S‑H. A review of deep learning‑based reconstruction methods for accelerated MRI using spatiotemporal and multi‑contrast redundancies. Biomed. Eng. Lett. 2024;14:1221–1242. doi:10.1007/s13534‑024‑00425‑9 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/565-06-002