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Towards Patient-Specific Finite-Element Simulation of MitralClip Procedure

  • T. Mansi
  • I. Voigt
  • E. Assoumou Mengue
  • R. Ionasec
  • B. Georgescu
  • T. Noack
  • J. Seeburger
  • D. Comaniciu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6891)

Abstract

MitralClip is a novel minimally invasive procedure to treat mitral valve (MV) regurgitation. It consists in clipping the mitral leaflets together to close the regurgitant hole. A careful preoperative planning is necessary to select respondent patients and to determine the clipping sites. Although preliminary indications criteria are established, they lack prediction power with respect to complications and effectiveness of the therapy in specific patients. We propose an integrated framework for personalized simulation of MV function and apply it to simulate MitralClip procedure. A patient-specific dynamic model of the MV apparatus is computed automatically from 4D TEE images. A biomechanical model of the MV, constrained by the observed motion of the mitral annulus and papillary muscles, is employed to simulate valve closure and MitralClip intervention. The proposed integrated framework enables, for the first time, to quantitatively evaluate an MV finite-element model in-vivo, on eleven patients, and to predict the outcome of MitralClip intervention in one of these patients. The simulations are compared to ground truth and to postoperative images, resulting in promising accuracy (average point-to-mesh distance: 1.47 ±0.24 mm). Our framework may constitute a tool for MV therapy planning and patient management.

Keywords

Mitral Valve Left Atrial Mitral Annulus Biomechanical Model Valve Closure 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • T. Mansi
    • 1
  • I. Voigt
    • 1
    • 2
  • E. Assoumou Mengue
    • 1
  • R. Ionasec
    • 1
  • B. Georgescu
    • 1
  • T. Noack
    • 3
  • J. Seeburger
    • 3
  • D. Comaniciu
    • 1
  1. 1.Image Analytics and InformaticsSiemens Corporate ResearchPrincetonUSA
  2. 2.Pattern Recognition LabFriedrich-Alexander-UniversityErlangenGermany
  3. 3.Department of Cardiac SurgeryHeart Centre LeipzigLeipzigGermany

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