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A Framework for Determination of Heart Valves’ Mechanical Properties Using Inverse-Modeling Approach

  • Ankush Aggarwal
  • Michael S. Sacks
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9126)

Abstract

Heart valves play a very important role in the functioning of the heart and many of the heart failures are related to the valvular dysfunctions, e.g. aortic stenosis and mitral regurgitation. Relationship between the biomechanical properties of valve leaflets and their function has long been established, however, determining these properties in a non-invasive manner remains a challenge. Here we present a framework for such a tool for biomechanical properties determination. We use an inverse-modeling approach, where the only input is through imaging the leaflet tissue as it is loaded naturally during its functional cycle. Using a structural model for the leaflet material behavior allows us to reduce the number of parameters to be determined to only two, which in addition to dramatically reducing the computational time also allows one to visualize the cost function and the minimization process. We close with discussion about the contributions of the current framework and other constituents needed to make it a clinically viable tool.

Keywords

Cost Function Heart Valve Inverse Model Prosthetic Valve Valve Leaflet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

We gratefully acknowledge the help from Will Zhang with parameter estimation and analysis of biaxial data. This work was supported by NIH Grant HL108330 and Moncrief Chair funds (M.S.S.) and American Heart Association Postdoctoral Fellowship 14POST18720037 (A.A.). The authors acknowledge the Texas Advanced Computing Center at The University of Texas at Austin for providing HPC resources.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Center for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, Department of Biomedical EngineeringUniversity of Texas at AustinAustinUSA

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