Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
451-03-001 / 451-03-001 ISMRM Abstract

Opportunistic Assessment of Cardiac Function and Structure from Routine Localizer MRI

Accepted
Busra Nur Zeybek1, Özgün Turgut1, Jiazhen Pan1, Robert Graf1, Sophie Starck1, Daniel Rueckert1,2, Sevgi Gokce Kafali 1
1Chair for AI in Healthcare and Medicine, Technical University of Munich and TUM University Hospital, Munich, Germany
2Department of Computing, Imperial College London, London, United Kingdom
Presenting Author: Sevgi Gokce Kafali

Synopsis

Motivation:
Goals:
Approach:
Results:
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. Smith KB, Smith MS. Obesity statistics. Primary care: clinics in office practice. 2016;43(1):121-35.
2. Rajiah PS, François CJ, Leiner T. Cardiac MRI: state of the art. Radiology. 2023;307(3):e223008.
3. Song L, Brezden-Masley C, Ramanan V, Ghugre N, Barfett JJ, Chan KK, Haq R, Petrella T, Dhir V, Jimenez-Juan L. Serial measurements of left ventricular systolic and diastolic function by cardiac magnetic resonance imaging in patients with early stage breast cancer on trastuzumab. The American Journal of Cardiology. 2019;123(7):1173-9.
4. Bonhorst D, Guerreiro S, Fonseca C, Cardim N, Macedo F, Adragão P. Real-life data on heart failure before and after implantation of resynchronization and/or defibrillation devices–The Síncrone study. Revista Portuguesa de Cardiologia (English Edition). 2019;38(1):33-41.
5. Clinic C. Ejection Fraction 2022 [updated 07.07.202412.12.2024]. Available from: https://my.clevelandclinic.org/health/articles/16950-ejection-fraction.
6. Kramer CM, Barkhausen J, Bucciarelli-Ducci C, Flamm SD, Kim RJ, Nagel E. Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance. 2020;22(1):17.
7. Curtis AD, Cheng HLM. Primer and historical review on rapid cardiac CINE MRI. Journal of Magnetic Resonance Imaging. 2022;55(2):373-88.
8. Foley TA, Mankad SV, Anavekar NS, Bonnichsen CR, Morris MF, Miller TD, Araoz PA. Measuring left ventricular ejection fraction-techniques and potential pitfalls. Eur Cardiol. 2012;8(2):108-14.
9. Menchón-Lara R-M, Simmross-Wattenberg F, Casaseca-de-la-Higuera P, Martín-Fernández M, Alberola-López C. Reconstruction techniques for cardiac cine MRI. Insights into imaging. 2019;10:1-16.
10. Turgut Ö, Müller P, Hager P, Shit S, Starck S, Menten MJ, Martens E, Rueckert D. Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging. Medical Image Analysis. 2025;101:103451.
11. Raisi-Estabragh Z, Harvey NC, Neubauer S, Petersen SE. Cardiovascular magnetic resonance imaging in the UK Biobank: a major international health research resource. European Heart Journal-Cardiovascular Imaging. 2021;22(3):251-8.
12. Petersen SE, Matthews PM, Francis JM, Robson MD, Zemrak F, Boubertakh R, Young AA, Hudson S, Weale P, Garratt S. UK Biobank's cardiovascular magnetic resonance protocol. Journal of cardiovascular magnetic resonance. 2016;18(1):8.
13. Graf R, Platzek P, Riedel EO, Ramschütz C, Starck S, Möller HK, Atad M, Völzke H, Bülow R, Schmidt CO. VIBESegmentator: full body MRI segmentation for the NAKO and UK Biobank. European Radiology. 2025:1-15.
14. Bai W, Suzuki H, Huang J, Francis C, Wang S, Tarroni G, Guitton F, Aung N, Fung K, Petersen SE. A population-based phenome-wide association study of cardiac and aortic structure and function. Nature medicine. 2020;26(10):1654-62.
15. Dosovitskiy A. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:201011929. 2020.
16. Koonce B. ResNet 50. Convolutional neural networks with swift for tensorflow: image recognition and dataset categorization: Springer; 2021. p. 63-72.
17. He K, Chen X, Xie S, Li Y, Dollár P, Girshick R, editors. Masked autoencoders are scalable vision learners. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition; 2022.
18. Radford A, Kim JW, Hallacy C, Ramesh A, Goh G, Agarwal S, Sastry G, Askell A, Mishkin P, Clark J, editors. Learning transferable visual models from natural language supervision. International conference on machine learning; 2021: PMLR.
19. Akoglu H. User's guide to correlation coefficients. Turkish journal of emergency medicine. 2018;18(3):91-3.

Cite this abstract