Kristen R. Feaver
University of Texas at Austin
5 Papers
Kristen R. Feaver is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Modeling and simulation & Heart valve. The author has an hindex of 4, co-authored 5 publications.
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Papers
Biomechanical Behavior of Bioprosthetic Heart Valve Heterograft Tissues: Characterization, Simulation, and Performance
João S. Soares,Kristen R. Feaver,Will Zhang,David Kamensky,Ankush Aggarwal,Ankush Aggarwal,Michael S. Sacks +6 more
TL;DR: This review provides a detailed summary of the computational biomechanical simulations used to inform and develop a higher level of understanding of BHV tissues and their failure modes and should serve as a tool not only to infer reliable and dependable prosthesis function, but also to instigate and facilitate the design of future bioprosthetic valves and clinically impact cardiology.
Geometric characterization and simulation of planar layered elastomeric fibrous biomaterials
TL;DR: A random walk algorithm is developed for geometric simulation of 2-D fibrous networks which can accurately reproduce the prescribed fiber density and orientation distribution function and the linear and areal fiber intersection densities obtained are in agreement with the theoretical estimates.
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On the in vivo function of the mitral heart valve leaflet: insights into tissue–interstitial cell biomechanical coupling
Chung-Hao Lee,Chung-Hao Lee,Will Zhang,Kristen R. Feaver,Robert C. Gorman,Joseph H. Gorman,Michael S. Sacks +6 more
TL;DR: From these simulations, it is determined that the placement of annuloplasty ring greatly reduces the peak MVIC deformation levels in a layer-specific manner, which suggests that the associated reductions in MV IC deformation may down-regulate MV extracellular matrix maintenance, ultimately leading to reduction in tissue mechanical integrity.
3 Geometric characterization and simulation of planar layered elastomeric
James B. Carleton,Kristen R. Feaver,Gregory J. Rodin,Michael S. Sacks +3 more
- 01 Jan 2014
TL;DR: Using methods of geometric probability, theoretical estimates are developed for the mean linear and areal fiber intersection densities for 2-D fibrous networks and a random walk algorithm is developed which can accurately predict these densities.
A novel crosslinking method for improved tear resistance and biocompatibility of tissue based biomaterials
Hobey Tam,Will Zhang,Kristen R. Feaver,Nathaniel Parchment,Michael S. Sacks,Narendra R. Vyavahare +5 more
TL;DR: A novel fabrication method is developed that utilizes carbodiimide, neomycin trisulfate, and pentagalloyl glucose crosslinking chemistry (TRI) to better stabilize the extracellular matrix of porcine aortic valve leaflets to show similar biomechanics to GLUT crosslinked leaflets.