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Computational Modeling of Heart Valves: Understanding and Predicting Disease

  • Ahmed A. Bakhaty
  • Ali Madani
  • Mohammad R. K. MofradEmail author
Chapter

Abstract

Computational methods offer a robust means of studying healthy and diseased heart valves. Simulations can shed light on the elusive function of heart valves and allow us to understand the underlying causes of heart valve disease in an effort to develop effective treatments. In comparison to experimental approaches, which either may not be representative in vitro or feasible in vivo, simulations assist in obtaining detailed information on the response of valves in a cost-effective manner.

In this chapter, we take a look at how computational methods have been used to study the varying types of heart valves. In particular, we focus on the modeling of diseased valves, and the simulation of associated therapies. We aim to highlight the work done to date in computationally modeling heart valves and emphasize the need for continued development of these models.

Keywords

Heart valve Computational modeling Multi-scale Disease prediction 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Ahmed A. Bakhaty
    • 1
    • 2
    • 3
  • Ali Madani
    • 4
  • Mohammad R. K. Mofrad
    • 5
    Email author
  1. 1.Department of Civil and Environmental EngineeringUniversity of CaliforniaBerkeleyUSA
  2. 2.Department of Electrical Engineering and Computer ScienceUniversity of CaliforniaBerkeleyUSA
  3. 3.Department of MathematicsUniversity of CaliforniaBerkeleyUSA
  4. 4.Department of Applied Science and Technology and Mechanical EngineeringUniversity of CaliforniaBerkeleyUSA
  5. 5.Department of Mechanical and BioengineeringUniversity of CaliforniaBerkeleyUSA

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