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>