1Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
3Science for Life Laboratory, Linköping University, Linköping, Sweden
Presenting Author: Tamara Bianchessi
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.
1. Shaaban AM, Duerinckx AJ. Wall Shear Stress and Early Atherosclerosis. American Journal of Roentgenology. 2000;174(6):1657-1665. doi:10.2214/ajr.174.6.1741657 [doi]
2. Nederkoorn PJ, Graaf Y van der, Eikelboom BC, Lugt A van der, Bartels LW, Mali WPTM. Time-of-Flight MR Angiography of Carotid Artery Stenosis: Does a Flow Void Represent Severe Stenosis? American Journal of Neuroradiology. 2002;23(10):1779-1784.
3. Wada A, Akatsu T, Ikenouchi Y, et al. Synthesizing 4D Magnetic Resonance Angiography From 3D Time-of-Flight Using Deep Learning: A Feasibility Study. Cureus. 2024;16(5):e60803. doi:10.7759/cureus.60803 [doi]
4. Berhane H, Maroun A, Dushfunian D, et al. Anatomy-derived 3D Aortic Hemodynamics Using Fluid Physics–informed Deep Learning. Radiology. Published online May 6, 2025. doi:10.1148/radiol.240714 [doi]
5. Trenti C, Ylipää E, Ebbers T, Carlhäll CJ, Engvall J, Dyverfeldt P. Referenceless 4D flow cardiovascular magnetic resonance with deep learning. Journal of Cardiovascular Magnetic Resonance. 2025;27(2):101920. doi:10.1016/j.jocmr.2025.101920 [doi]
6. Isensee F, Jaeger PF, Kohl SAA, Petersen J, Maier-Hein KH. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods. 2021;18(2):203-211. doi:10.1038/s41592-020-01008-z [doi]
7. Trenti C, Ylipää E, Ebbers T, Carlhäll CJ, Engvall J, Dyverfeldt P. Referenceless 4D flow cardiovascular magnetic resonance with deep learning. Journal of Cardiovascular Magnetic Resonance. 2025;27(2):101920. doi:10.1016/j.jocmr.2025.101920 [doi]