Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
468-03-001 ISMRM Abstract

Automated Inline Segmentation for Real-Time Evaluation of Ventricular Function in Cardiac MRI

Primary: Analysis Methods - Segmentation and Detection
Secondary: Cardiovascular - Myocardium
468-03-001 · Segmentation for Cardiac Applications · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row I
Keywords: Segmentation Cardiac function CINE Automated segmentation
Accepted
Omer B Demirel 1, Spencer Waddle1, Enas A Ahmed2, Dinghui Wang2, Tzu Cheng Chao3, Joppe Kietselaer4, Jouke Smink1, Jacinta G Browne3, Tim Leiner2,3
1Philips North America Clinical Science, Rochester, United States of America
2Mayo Clinic, Rochester, United States of America
3Radiology, Mayo Clinic, Rochester, United States of America
4Mayo High School, Rochster, United States of America
Presenting Author: Omer B Demirel

Synopsis

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References

1. Schlemper, J. et al. Attention gated networks: Learning to leverage salient regions in medical images. Med. Image Anal. 53, 197–207 (2019). DOI; 10.1016/j.media.2019.01.012 [doi]
2. Bernard, O. et al. Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Med. Imaging 37, 2514–2525 (2018). DOI: 10.1109/tmi.2018.2837502 [doi]
3. Campello, V. M. et al. Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Med. Imaging 40, 3543–3554 (2021). DOI: 10.1109/TMI.2021.3090082 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/468-03-001