Patient-Specific Geometric Modeling of an Aortic Valve

  • Alexander DanilovEmail author
  • Alexey Liogky
  • Roman Pryamonosov
  • Victoria Salamatova
Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 131)


Aortic valve disease is one of the most common heart valve diseases. Among various approaches treating this valve pathology we address aortic valve reconstruction with glutaraldehyde-treated autologous pericardium. This procedure is attractive due to its cost and effectiveness. A surgical planning system based on patient-specific modeling allows surgeons to compare different shapes of valve leaflet and to choose optimal reconstruction strategies. We develop a numerical framework for assessment of valve function that can be utilized by surgeons during patient-specific decision making. The framework includes automatic CT image segmentation, mesh generation, simulation of valve leaflet deformation by mass-spring approach. The final decision is based on uncertainty analysis and leaflets shape optimization. This paper gives a proof of concept of our methodology: segmentation, meshing and deformation simulation methods are presented in details.



The authors thank P. A. Karavaykin for problem formulation and valuable discussions, Ph. Yu. Kopylov for providing patient-specific data, and G. V. Kopytov for the development of user’s interface for our methodology. The work was supported by the Russian Foundation for Basic Research (RFBR) under grant 17-01-00886.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alexander Danilov
    • 1
    • 2
    • 3
    Email author
  • Alexey Liogky
    • 2
  • Roman Pryamonosov
    • 1
    • 2
    • 3
  • Victoria Salamatova
    • 1
    • 2
    • 3
  1. 1.INM RASMoscowRussia
  2. 2.MIPTDolgoprudnyRussia
  3. 3.Sechenov UniversityMoscowRussia

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