Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration

Even though the central role of mechanics in the cardiovascular system is widely recognized, estimating mechanical deformation and strains in-vivo remains an ongoing practical challenge. Herein, we present a semi-automated framework to estimate strains from four-dimensional (4D) echocardiographic im...

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Veröffentlicht in:Medical image analysis 2023-07, Vol.87, p.102804-102804, Article 102804
Hauptverfasser: Aggarwal, Ankush, Mortensen, Peter, Hao, Jilei, Kaczmarczyk, Łukasz, Cheung, Albert T., Al Ghofaily, Lourdes, Gorman, Robert C., Desai, Nimesh D., Bavaria, Joseph E., Pouch, Alison M.
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Sprache:eng
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Zusammenfassung:Even though the central role of mechanics in the cardiovascular system is widely recognized, estimating mechanical deformation and strains in-vivo remains an ongoing practical challenge. Herein, we present a semi-automated framework to estimate strains from four-dimensional (4D) echocardiographic images and apply it to the aortic roots of patients with normal trileaflet aortic valves (TAV) and congenital bicuspid aortic valves (BAV). The method is based on fully nonlinear shell-based kinematics, which divides the strains into in-plane (shear and dilatational) and out-of-plane components. The results indicate that, even for size-matched non-aneurysmal aortic roots, BAV patients experience larger regional shear strains in their aortic roots. This elevated strains might be a contributing factor to the higher risk of aneurysm development in BAV patients. The proposed framework is openly available and applicable to any tubular structures. •A novel open-source framework estimates in vivo strains in 4D echocardiography.•The method is independent of acquisition system and generalizable to vascular tissue.•Strain is estimated in the roots of both trileaflet and bicuspid aortic valves.•Accuracy of tracking and strain estimation with known transformations is assessed.•Regional strains in the two patient cohorts exhibit differences in root dynamics.
ISSN:1361-8415
1361-8423
1361-8423
DOI:10.1016/j.media.2023.102804