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Interactive editing of virtual chordae tendineae for the simulation of the mitral valve in a decision support system

Authors :
Mathias Neugebauer
Volkmar Falk
Joachim Georgii
Lennart Tautz
Lars Walczak
Anja Hennemuth
Simon H. Sündermann
Isaac Wamala
Source :
International Journal of Computer Assisted Radiology and Surgery, International Journal of Computer Assisted Radiology and Surgery, 16 (1)
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

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.<br />International Journal of Computer Assisted Radiology and Surgery, 16 (1)<br />ISSN:1861-6410<br />ISSN:1861-6429

Details

ISSN :
18616429 and 18616410
Volume :
16
Database :
OpenAIRE
Journal :
International Journal of Computer Assisted Radiology and Surgery
Accession number :
edsair.doi.dedup.....c1619c3c49eae8e681b95bf4bf77896d
Full Text :
https://doi.org/10.1007/s11548-020-02230-y