Patient-specific modeling of heart valves: from image to simulation

  • Authors:

  • Ankush Aggarwal;Vanessa S. Aguilar;Chung-Hao Lee;Giovanni Ferrari;Joseph H. Gorman;Rober C. Gorman;Michael S. Sacks

  • Affiliations:

  • Institute of Computational Engineering & Sciences, University of Texas at Austin, Austin, TX;Department of Biomedical Engineering, University of Texas at Austin, Austin, TX;Institute of Computational Engineering & Sciences, University of Texas at Austin, Austin, TX;Gorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA;Gorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA;Gorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA;Institute of Computational Engineering & Sciences, University of Texas at Austin, Austin, TX and Department of Biomedical Engineering, University of Texas at Austin, Austin, TX

  • Venue:
  • FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
  • Year:
  • 2013

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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. As the medical field is moving towards a patient-specific diagnosis and treatment procedures, modeling of heart valves with patient-specific information is becoming a significant tool in medical field. Here we present the ingredients for valve simulation specifically the aortic valve, with a main focus on a novel spline-based mapping technique which solves many issues in generating patient-specific models --- the microstructural mapping, the pre-strain calculations, prescribing dynamic boundary conditions, validation and inverse-modeling to obtain material parameters.