Notice: Users may be experiencing issues with displaying some pages on stanfordhealthcare.org. We are working closely with our technical teams to resolve the issue as quickly as possible. Thank you for your patience.
 

See our updated masking policy »

Stanford Health Care

Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration. Medical image analysis Aggarwal, A., Mortensen, P., Hao, J., Kaczmarczyk, L., Cheung, A. T., Al Ghofaily, L., Gorman, R. C., Desai, N. D., Bavaria, J. E., Pouch, A. M. 2023; 87: 102804

Abstract

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.

View details for DOI 10.1016/j.media.2023.102804

View details for PubMedID 37060701