Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
608-02-004 ISMRM Abstract

ScarNet-DPO: A Fully Automated Multi Modal Foundation Model for Highly Accurate Left Ventricular Scar Quantification

Primary: Cardiovascular - Myocardium
Secondary: Analysis Methods - Multi-Modal Learning with LLMs/VLMs
608-02-004 · Towards Multimodal Intelligence in MRI: Vision-Language Integration · Thursday, 14 May, 1:40 PM–3:30 PM · Meeting Room 1.60
Keywords: Machine Learning/Artificial Intelligence Scar Quantification Late gadolinium enhancement Foundation model Multi-modal MRI
Accepted
Neda Tavakoli1, Amir Ali Rahsepar2, Santiago López-Tapia3, Daniel C Lee4,5, Aggelos K Katsaggelos3, Daniel Kim1,4
1Radiology, Northwestern University Feinberg School of Medicine, Chicago, United States of America
2Univeristy of California Los Angeles, United States of America
3Electrical and Computer Engineering, Northwestern University, Chicago, United States of America
4Northwestern University Feinberg School of Medicine, Chicago, United States of America
5Division of Cardiology, Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, United States of America
Presenting Author: Mingzhen Li

Synopsis

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References

1. Kim RJ, Fieno DS, Parrish TB, Harris K, Chen EL, Simonetti O, Bundy J, Finn JP, Klocke FJ, Judd RM. Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation. 1999;100:1992-2002. doi: 10.1161/01.cir.100.19.1992 [doi]
2. Jathanna N, Podlasek A, Sokol A, Auer D, Chen X, Jamil-Copley S. Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging-A systematic review. Cardiovasc Digit Health J. 2021;2:S21-S29. doi: 10.1016/j.cvdhj.2021.11.005 [doi]
3. Tavakoli N, Rahsepar AA, Benefield BC, Shen D, Lopez-Tapia S, Schiffers F, Goldberger JJ, Albert CM, Wu E, Katsaggelos AK, et al. ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from Late Gadolinium-Enhancement Images. J Cardiovasc Magn Reson. 2025:101945. doi: 10.1016/j.jocmr.2025.101945 [doi]
4. Flett AS, Hasleton J, Cook C, Hausenloy D, Quarta G, Ariti C, Muthurangu V, Moon JC. Evaluation of techniques for the quantification of myocardial scar of differing etiology using cardiac magnetic resonance. JACC: cardiovascular imaging. 2011;4:150-156.
5. Zhang S, Xu Y, Usuyama N, Xu H, Bagga J, Tinn R, Preston S, Rao R, Wei M, Valluri N. Biomedclip: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs. arXiv preprint arXiv:230300915. 2023.
6. Zhang X, Wu C, Zhao Z, Lin W, Zhang Y, Wang Y, Xie W. Pmc-vqa: Visual instruction tuning for medical visual question answering. arXiv preprint arXiv:230510415. 2023.
7. Ma J, He YT, Li FF, Han L, You CY, Wang B. Segment anything in medical images. Nat Commun. 2024;15. doi: ARTN 65410.1038/s41467-024-44824-z
8. Leyva F, Foley PW, Chalil S, Ratib K, Smith RE, Prinzen F, Auricchio A. Cardiac resynchronization therapy guided by late gadolinium-enhancement cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2011;13:29. doi: 10.1186/1532-429X-13-29 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/608-02-004