Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
468-03-007 ISMRM Abstract

Domain-Specific Fine-Tuning of SAM2.1 for 3D Segmentation of Cardiac Structures from Cine MRI

Primary: Cardiovascular - Myocardium
Secondary: Transferable Skills
468-03-007 · Segmentation for Cardiac Applications · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row I
Keywords: Heart Foundation model Cardiac Cine MRI Image segmentation Deep Learning Segmentation
Accepted
Tijana Geroski1, Amir Amini 2
1Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
2Department of Electrical and Computer Engineering, University of Louisville, Louisville, United States of America
Presenting Author: Amir Amini

Synopsis

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References

1. G. Du, X. Cao, J. Liang, X. Chen and Y. Zhan, "Medical image segmentation based on U-net: A review," Journal of Imaging Science & Technology, vol. 64, no. 2, pp. 1-12, 2020.
2. M. Mazurowski, H. Dong, H. Gu, J. Yang, N. Konz and Y. Zhang, "Segment anything model for medical image analysis: an experimental study," Medical Image Analysis, no. 89, p. 102918, 2023.
3. Z. Yan, W. Sun, R. Zhou, Z. Yuan, K. Zhang, Y. Li, T. Liu, Q. Li, X. Li, L. He and L. Sun, "Biomedical SAM 2: Segment Anything in Biomedical Images and Videos," arXiv preprint arXiv:2408.03286, 2024.
4. C. Chen, C. Qin, H. Qiu, G. Tarroni, J. Duan, W. Bai and D. Rueckert, "Deep learning for cardiac image segmentation: a review," Frontiers in cardiovascular medicine, vol. 7, no. 25, pp. 1-33, 2020.
5. B. Bozkurt, et al. "Universal Definition and Classification of Heart Failure: A Report of the Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, Japanese HF Society and Writing Committee of the Universal Definition of HF," Journal of Cardiac Failure, vol. 27, no. 4, pp. 387-413, 2021.
6. N. Ravi, V. Gabeur, Y. Hu, R. Hu, C. Ryali, T. Ma, H. Khedr, R. Rädle, C. Rolland, L. Gustafson, E. Mintun, J. Pan, K. Alwala, N. Carion, C. Wu, R. Girshick, P. Dollár and C. Feichtenhofer, "Sam 2: Segment anything in images and videos," arXiv preprint arXiv:2408.00714, 2024.
7. O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, X. Yang, P. Heng and P. Jodoin, "Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?," IEEE transactions on medical imaging, vol. 37, no. 11, pp. 2514-2525, 2018.

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http://echo.ismrm.org/p/ISMRM2026/468-03-007