Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
470-07-126 Registered Abstract

Evaluation of Deep Learning Enhancement for Zero Echo Time MRI of the Shoulder

Accepted
Daehyun Yoon 1, Kevin McGill1, Alexandra S Gersing1, Sagar Mandava2, Michael Carl2, Quin Lu2, Thomas M Link1
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: Daehyun Yoon

Synopsis

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References

1. Aydıngöz Ü, Yıldız AE, Ergen FB. Zero Echo Time Musculoskeletal MRI: Technique, Optimization, Applications, and Pitfalls. Radiographics. 2022 Sep-Oct;42(5):1398-1414. doi: 10.1148/rg.220029. Epub 2022 Jul 29. PMID: 35904982. [doi] [pmid]
2. Carretero-Gómez L, Fung M, Wiesinger F, Carl M, McKinnon G, de Arcos J, Mandava S, Arauz S, Sánchez-Lacalle E, Nagrani S, López-Alcorocho JM, Rodríguez-Íñigo E, Malpica N, Padrón M. Deep learning-enhanced zero echo time MRI for glenohumeral assessment in shoulder instability: a comparative study with CT. Skeletal Radiol. 2025 Jun;54(6):1263-1273. doi: 10.1007/s00256-024-04830-0. Epub 2024 Nov 22. PMID: 39572485; PMCID: PMC12000158. [doi] [pmid]
3. Mandava S, Carl M, Wiesinger F, Fung M, Level RM. Deep learning based chemical shift artifact reduction in Zero Echo Time (ZTE) MRI. ISMRM 2024, p.4428.
4. Lebel RM, Performance characterization of a novel deep learning-based MR image reconstruction pipeline. ArXiv:2008.06559. DOI:10.48550/arXiv.2008.06559 [doi]

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