368-01-009 ISMRM Abstract

Label‑Free Principal Strain from Cine SSFP via Unsupervised Deformable Registration and Myocardial‑Aware Training

Primary: Analysis Methods - Image Registration and Alignment

Secondary: Cardiovascular - Myocardium

368-01-009 · Registration, Atlases, and Motion · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row I

Keywords: Cardiovascular magnetic resonance Deep learning image registration Unsupervised machine learning Simulation-Validation Cardiac function quantification

Accepted

Ali S Badran¹, Muhannad Abdallah¹, Osama Mahmoud^1,2, Ahmed Hassan^1,2, Mishkat Habib ³, Tamer Y Basha¹, Ahmed Gharib³, Ahmed Abdelfadeel³, Khaled Z Abd-Elmoniem³

¹Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt

²Department of Applied Computer Science, Norwegian University of Science and Technology NTNU, Norway

³Biomedical and Metabolic Imaging Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, United States of America

Presenting Author: Mishkat Habib

Synopsis

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References

1. Pedrizzetti G, Claus P, Kilner PJ, Nagel E. Principles of CMR feature tracking & echocardiographic speckle tracking. J Cardiovasc Magn Reson. 2016;18:51. https://doi.org/10.1186/s12968-016-0269-7 [doi]

2. Scatteia A, Ferrara F, Bucciarelli Ducci C. State of the art myocardial strain by CMR feature tracking. Eur Radiol. 2022;32:5424–5435. DOI: 10.1007/s00330-022-08629-2 [doi]

3. Rajiah P, Kalisz K, et al., Myocardial Strain Evaluation with Cardiovascular MRI: Physics, Principles, and Clinical Applications. Radiographics. 2022;42(4). https://doi.org/10.1148/rg.210174 [doi]

4. Balakrishnan G, Zhao A, Sabuncu MR, Guttag J, Dalca AV. VoxelMorph: A learning framework for deformable medical image registration. IEEE TMI. 2019;38:1788–1800. https://doi.org/10.1109/TMI.2019.2897538 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/368-01-009