Abstract
Medical simulations play an increasingly important role in today’s clinical and surgical treatment processes. The scope of this work is the support of the surgical operation of a mitral valve reconstruction (MVR) by means of biomechanical simulations. Based on numerical simulation, the natural anatomical setting, the ring implantation and the valve closure are modelled and efficiently computed in order to provide surgeons during the operation with additional morphological and functional information. Our simulation is based on the Finite Element Method (FEM) and implemented using the open-source C++ FEM software HiFlow3. Integrating patient data and surgical expert knowledge, and making efficient use of High-Performance Computing (HPC) methods allows for obtaining valuable simulation results for surgery assistance in adequate times. In this work, we focus on the intelligent setup of the biomechanical model and the flexible interfaces of the HPC-based implementation of the resulting MVR simulation, thereby aiming at a cognition-guided, patient-specific integration into systems for surgery assistance.
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Anzt, H., Augustin, W., Baumann, M., et al.: HiFlow3 – a hardware-aware parallel finite element package. In: Tools for High Performance Computing, vol. 2011, pp. 139–151 (2012)
Bathe, K.-J.: Finite Element Procedures. Prentice Hall, New Jersey (1996)
Braess, D.: Finite Elemente. Springer, Berlin/Heidelberg (2007)
Carpentier, A., Chauvaud, S., Fabiani, J.N., et al.: Reconstructive surgery of mitral valve incompetence: ten-year appraisal. J. Thorac. Cardiovasc. Surg. 79, 338–348 (1980)
Choi, A., Rim, Y., Mun, J.S., Kim, H.: A novel finite element-based patient-specific mitral valve repair: virtual ring annuloplasty. J. Bio-Med. Mater. Eng. 24, 341–347 (2014)
Ciarlet, P.G.: Mathematical Elasticity. North Holland, Amsterdam (1988)
Engelhardt, S., Lichtenberg, N., Al-Maisary, S., et al.: Towards automatic assessment of the mitral valve coaptation zone from 4D ultrasound. In: Functional Imaging and Modelling of the Heart, Maastricht (2015)
Jokinen, J., Hippelaeinen, M.J., Pitkaenen, O.A., Hartikainen, J.E.: Mitral valve replacement versus repair: propensity-adjusted survival and quality-of-life analysis. J. Thorac. Surg. 84, 451–458 (2007)
Maisano, F., Skantharaja, R., Denti, P., et al.: Mitral annuloplasty. Oxf. J. Multimed. Manual Cardiothorac. Surg. 0918 (2009)
Mansi, T., Voigt, I., Georgescu, B., Zheng, X., et al.: An integrated framework for finite-element modeling of mitral valve biomechanics from medical images. J. Med. Image Anal. 16, 1330–1346 (2012)
Mezger, J.: Simulation and animation of deformable bodies. Dissertation, University of Tuebingen, Germany (2008)
Morgan, A.E., Pantoja, J.L., Weinsaft, J., et al.: Finite element modeling of mitral valve repair. J. Biomech. Eng. 138(2), 021009 (2016)
Owen, D.R.J., Peric, D.: Computational model for 3-D contact problems with friction based on the penalty method. J. Numer. Methods Eng. 35, 1289–1309 (1992)
Pouch, A., Xu, C., Yushkevich, P.A., et al.: Semi-automated mitral valve morphometry and computational stress analysis using 3D ultrasound. J. Biomech. 45, 903–907 (2012)
Prot, V., Skallerud, B.: Nonlinear solid finite element analysis of mitral valves with heterogeneous leaflet layers. J. Comput. Mech. 43, 353–368 (2009)
Schoch, N., Engelhardt, S., Zimmermann, N., et al.: Integration of a biomechanical simulation for mitral valve reconstruction into a knowledge-based surgery assistance system. In: Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 941502 (2015)
Schoch, N., Philipp, P., Weller, T., et al.: Cognitive tools pipeline for assistance of mitral valve surgery. In: Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 978603 (2016)
Schoch, N., Kissler, F., Stoll, M., et al.: Comprehensive patient-specific information preprocessing for cardiac surgery simulations. Int. J. Comput. Assist. Radiol. Surg. 11(6), 1051–1059 (2016). Special Issue: IPCAI2016
Suwelack, S., Stoll, M., Schalck, S., Schoch, N., et al.: The medical simulation markup language – simplifying the biomechanical modeling workflow. J. Stud. Health Technol. Inform. 196, 394–400 (2014)
Votta, E., Caiani, E., Veronesi, F., et al.: Mitral valve finite-element modelling from ultrasound data: a pilot study for a new approach to understand mitral function and clinical scenarios. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 366, 3411 (2008)
Votta, E., Le, T.B., Stevanella, M., et al.: Toward patient-specific simulations of cardiac valves: state-of-the-art and future directions. J. Biomech. 46, 217–228 (2013)
Wriggers, P.: Computational Contact Mechanics, 2nd edn. Springer, Berlin/Heidelberg (2006)
Acknowledgements
This work was carried out with the support of the German Research Foundation (DFG) within the projects I03 and B01 of the Collaborative Research Center SFB/TRR 125 ‘Cognition-Guided Surgery’. We performed the computations on the bwUniCluster, funded by the Ministry of Science, Research and the Arts Baden-Wuerttemberg and the Universities of the State of Baden-Wuerttemberg, Germany, within the framework program bwHPC.
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Schoch, N., Engelhardt, S., De Simone, R., Wolf, I., Heuveline, V. (2017). High Performance Computing for Cognition-Guided Cardiac Surgery: Soft Tissue Simulation for Mitral Valve Reconstruction in Knowledge-Based Surgery Assistance. In: Bock, H., Phu, H., Rannacher, R., Schlöder, J. (eds) Modeling, Simulation and Optimization of Complex Processes HPSC 2015 . Springer, Cham. https://doi.org/10.1007/978-3-319-67168-0_17
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DOI: https://doi.org/10.1007/978-3-319-67168-0_17
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