Lars Walczak1,2, Lennart Tautz3,4, Mathias Neugebauer3, Joachim Georgii3, Isaac Wamala5, Simon Sündermann4,5,6, Volkmar Falk4,5,6,7, Anja Hennemuth3,4,6. 1. Fraunhofer MEVIS, Bremen, Germany. lars.walczak@mevis.fraunhofer.de. 2. Charité-Universitätsmedizin Berlin, Berlin, Germany. lars.walczak@mevis.fraunhofer.de. 3. Fraunhofer MEVIS, Bremen, Germany. 4. Charité-Universitätsmedizin Berlin, Berlin, Germany. 5. German Heart Institute Berlin-DHZB, Berlin, Germany. 6. German Centre for Cardiovascular Research-DZHK, Berlin, Germany. 7. Swiss Federal Institute of Technology, Zürich, Switzerland.
Abstract
PURPOSE: Decision support systems for mitral valve disease are an important step toward personalized surgery planning. A simulation of the mitral valve apparatus is required for decision support. Building a model of the chordae tendineae is an essential component of a mitral valve simulation. Due to image quality and artifacts, the chordae tendineae cannot be reliably detected in medical imaging. METHODS: Using the position-based dynamics framework, we are able to realistically simulate the opening and closing of the mitral valve. Here, we present a heuristic method for building an initial chordae model needed for a successful simulation. In addition to the heuristic, we present an interactive editor to refine the chordae model and to further improve pathology reproduction as well as geometric approximation of the closed valve. RESULTS: For evaluation, five mitral valves were reconstructed based on image sequences of patients scheduled for mitral valve surgery. We evaluated the approximation of the closed valves using either just the heuristic chordae model or a manually refined model. Using the manually refined models, prolapse was correctly reproduced in four of the five cases compared to two of the five cases when using the heuristic. In addition, using the editor improved the approximation in four cases. CONCLUSIONS: Our approach is suitable to create realistically parameterized mitral valve apparatus reconstructions for the simulation of normally and abnormally closing valves in a decision support system.
PURPOSE: Decision support systems for mitral valve disease are an important step toward personalized surgery planning. A simulation of the mitral valve apparatus is required for decision support. Building a model of the chordae tendineae is an essential component of a mitral valve simulation. Due to image quality and artifacts, the chordae tendineae cannot be reliably detected in medical imaging. METHODS: Using the position-based dynamics framework, we are able to realistically simulate the opening and closing of the mitral valve. Here, we present a heuristic method for building an initial chordae model needed for a successful simulation. In addition to the heuristic, we present an interactive editor to refine the chordae model and to further improve pathology reproduction as well as geometric approximation of the closed valve. RESULTS: For evaluation, five mitral valves were reconstructed based on image sequences of patients scheduled for mitral valve surgery. We evaluated the approximation of the closed valves using either just the heuristic chordae model or a manually refined model. Using the manually refined models, prolapse was correctly reproduced in four of the five cases compared to two of the five cases when using the heuristic. In addition, using the editor improved the approximation in four cases. CONCLUSIONS: Our approach is suitable to create realistically parameterized mitral valve apparatus reconstructions for the simulation of normally and abnormally closing valves in a decision support system.
Authors: Andreas Beckmann; Renate Meyer; Jana Lewandowski; Michael Frie; Andreas Markewitz; Wolfgang Harringer Journal: Thorac Cardiovasc Surg Date: 2018-12-03 Impact factor: 1.827
Authors: Joerg Seeburger; Michael Andrew Borger; Volkmar Falk; Thomas Kuntze; Markus Czesla; Thomas Walther; Nicolas Doll; Friedrich Wilhelm Mohr Journal: Eur J Cardiothorac Surg Date: 2008-06-30 Impact factor: 4.191
Authors: Katharina Vellguth; Fabian Barbieri; Markus Reinthaler; Mario Kasner; Ulf Landmesser; Titus Kuehne; Anja Hennemuth; Lars Walczak; Leonid Goubergrits Journal: Front Cardiovasc Med Date: 2022-08-24