Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-03-009 ISMRM Abstract

Evaluating TFCE-based permutation tests for the patch-wise analysis of WSS maps in the ascending aorta

Primary: Cardiovascular - Flow
Secondary: Analysis Methods - Data Processing
560-03-009 · Congenital Heart Disease, Valves, and Vessels · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row A
Keywords: 4D flow MRI Aorta Statistical analysis Wall shear stress Ascending aortic dilation
Accepted
Chiara Trenti 1,2, Deneb Boito3, Filip Hammaréus1,4, Jennifer S Habib1, Marcus Lindenberger5, Eva Swahn4,5, Lena Jonasson1,5, Bertil Wegmann2,6, Petter Dyverfeldt1,2,7
1Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
3Department of Biomedical Engineering, Linköping University, Linköping, Sweden
4Department of Internal Medicine in Jönköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
5Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
6Department of Computer and Information Science, Linköping University, Linköping, Sweden
7Science for Life Laboratory, Linköping University, Linköping, Sweden
Presenting Author: Chiara Trenti

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References

1. van Ooij, P. et al. A methodology to detect abnormal relative wall shear stress on the full surface of the thoracic aorta using four-dimensional flow MRI: Cohort-Averaged WSS Maps of the Thoracic Aorta. Magn. Reson. Med. 73, 1216–1227 (2015). doi:10.1002/mrm.25224 [doi]
2. Rodríguez-Palomares, J. F. et al. Aortic flow patterns and wall shear stress maps by 4D-flow cardiovascular magnetic resonance in the assessment of aortic dilatation in bicuspid aortic valve disease. J. Cardiovasc. Magn. Reson. 20, 28 (2018). doi:10.1186/s12968-018-0451-1 [doi]
3. Smith, S. M. & Nichols, T. E. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage 44, 83–98 (2009). doi:10.1016/j.neuroimage.2008.03.061 [doi]
4. Hammaréus, F. et al. Wall shear stress measured with 4D flow CMR correlates with biomarkers of inflammation and collagen synthesis in mild-to-moderate ascending aortic dilation and tricuspid aortic valves. Eur. Heart J. - Cardiovasc. Imaging 25, 1384–1393 (2024). doi:10.1093/ehjci/jeae130 [doi]
5. Potters, W. V., van Ooij, P., Marquering, H., vanBavel, E. & Nederveen, A. J. Volumetric arterial wall shear stress calculation based on cine phase contrast MRI: Volumetric Wall Shear Stress Calculation. J. Magn. Reson. Imaging 41, 505–516 (2015). doi:10.1002/jmri.24560 [doi]
6. Guala, A. et al. Wall Shear Stress Predicts Aortic Dilation in Patients With Bicuspid Aortic Valve. JACC Cardiovasc. Imaging 15, 46–56 (2022). doi:10.1016/j.jcmg.2021.09.023 [doi]
7. Sotelo, J. et al. 3D Quantification of Wall Shear Stress and Oscillatory Shear Index Using a Finite-Element Method in 3D CINE PC-MRI Data of the Thoracic Aorta. IEEE Trans. Med. Imaging 35, 1475–1487 (2016). doi:10.1109/TMI.2016.2517406 [doi]
8. Dux-Santoy, L. et al. Low and Oscillatory Wall Shear Stress Is Not Related to Aortic Dilation in Patients With Bicuspid Aortic Valve. Arterioscler. Thromb. Vasc. Biol. 40, e10–e20 (2020). doi:10.1161/ATVBAHA.119.313636 [doi]
9. Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M. & Nichols, T. E. Permutation inference for the general linear model. NeuroImage 92, 381–397 (2014). doi:10.1016/j.neuroimage.2014.01.060 [doi]
10. Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W. & Smith, S. M. FSL. NeuroImage 62, 782–790 (2012). doi:10.1016/j.neuroimage.2011.09.015 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-03-009