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Dipl.-Ing. Ingmar Voigt

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Personalized healthcare with robust patient-specific models of anatomy and function
Project Description

Towards Patient-Specific Finite-Element Simulation of MitralClip Procedure

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 Mitral-Clip 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.


Mansi, Tommaso; Voigt, Ingmar; Assoumou Mengue, Etienne; Ionasec, Razvan; Georgescu, Bogdan; Noack, Thilo; Seeburger, Joerg; Comaniciu, Dorin

Towards Patient-Specific Finite-Element Simulation of MitralClip Procedure In: Fichtinger, Gabor; Martel, Anne; Peters, Terry(Eds.)
Proceedings of the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011 Toronto 18.-22.09.2011)  - Awarded with the MICCAI 2011 Young Investigators Award


Part of this work was implemented using the Simulation Open Framework Architecture.