10.25376/hra.7796033.v1
Chung-Hao Lee
Chung-Hao
Lee
Will Zhang
Will
Zhang
Kristen Feaver
Kristen
Feaver
Robert C. Gorman
Robert C.
Gorman
Joseph H. Gorman
Joseph H.
Gorman
Michael Sacks
Michael
Sacks
BMMB-2017.pdf
Health Research Alliance
2019
Finite element (FE) inverse modeling
inverse modeling
structural constitutive models
collagen fiber recruitment
mitral valve repair
cell mechanotransduction
Biomechanics
2019-03-03 02:53:45
Journal contribution
https://hra.figshare.com/articles/journal_contribution/BMMB-2017_pdf/7796033
<div>There continues to be a critical need for developing data-informed computational modeling techniques that enable systematic evaluations of mitral valve (MV) function. This is important for a better understanding of MV organ-level biomechanical performance, in vivo functional tissue stresses, and the biosynthetic responses of MV interstitial cells (MVICs) in the normal, pathophysiological, and surgically repaired states. In the present study, we utilized extant ovine MV population-averaged 3D fiducial marker data to quantify the MV anterior leaflet (MVAL) deformations in various kinematic states. This approach allowed us to make the critical connection between the in vivo functional and the in vitro experimental configurations. Moreover, we incorporated the in vivo MVAL deformations and pre-strains into an enhanced inverse finite element modeling framework (Path 1) to estimate the resulting in vivo tissue prestresses …</div>