Abstract
The simulation of cardiac blood flow using patient-specific geometries can help for the diagnosis and treatment of cardiac diseases. Current patient-specific cardiac flow simulations requires a significant amount of human expertise and time to pre-process image data and obtain a case ready for simulations. A new procedure is proposed to alleviate this pre-processing by registering a unique generic mesh on patient-specific cardiac segmentations and transferring appropriately the spatiotemporal dynamics of the ventricle. The method is applied on real patient data acquired from 3D ultrasound imaging. Both a healthy and a pathological conditions are simulated. The resulting simulations exhibited physiological flow behavior in cardiac cavities. The experiments confirm a significant reduction in pre-processing work.
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Mittal, R., Seo, J.H., Vedula, V., Choi, Y.J., Liu, H., Huang, H.H., George, R.T.: Computational modeling of cardiac hemodynamics: current status and future outlook. J. Comput. Phys. 305, 1065–1082 (2016)
Chnafa, C., Mendez, S., Nicoud, F.: Image-based large-eddy simulation in a realistic left heart. Comput. Fluids 94, 173–187 (2014)
Bavo, A.M., Pouch, A.M., Degroote, J., Vierendeels, J., Gorman, J.H., Gorman, R.C., Segers, P.: Patient-specific CFD simulation of intraventricular haemodynamics based on 3D ultrasound imaging. Biomed. Eng. OnLine 15(1), 107–122 (2016)
Astorino, M., Hamers, J., Shadden, S.C., Gerbeau, J.-F.: A robust and efficient valve model based on resistive immersed surfaces. Int. J. Numer. Meth. Biomed. Eng. 28(9), 937–959 (2012)
Ranganathan, N., Lam, J.H., Wigle, E.D., Silver, M.D.: Morphology of the human mitral valve. II. The valve leaflets. Circulation 41(3), 459–467 (1970)
Votta, E., Caiani, E., Veronesi, F., Soncini, M., Montevecchi, F.M., Redaelli, A.: 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. Ser. A Math. Phys. Eng. Sci. 366(1879), 3411–3434 (2008)
Durrleman, S., Prastawa, M., Charon, N., Korenberg, J.R., Joshi, S., Gerig, G., Trouv, A.: Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage 101(8), 35–49 (2014)
Lambert, A.S.: Proximal isovelocity surface area should be routinely measured in evaluating mitral regurgitation: a core review. Anesth. Analg. 105(4), 940–943 (2007)
Hong, G.R., Pedrizzetti, G., Tonti, G., Li, P., Wei, Z., Kim, J.K., Vannan, M.A.: Characterization and quantification of vortex flow in the human left ventricle by contrast echocardiography using vector particle image velocimetry. JACC Cardiovasc. Imaging 1(6), 705–717 (2008)
This, A., Morales, H.G., Bonnefous, O.: Proximal isovelocity surface for different mitral valve hole geometries. In: ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering 1, pp. 155–163 (2016)
Couteau, B., Payan, Y., Lavallée, S.: The mesh-matching algorithm: an automatic 3D mesh generator for finite element structures. J. Biomech. 33(8), 1005–1009 (2000)
Bucki, M., Lobos, C., Payan, Y.: A fast and robust patient specific finite element mesh registration technique: application to 60 clinical cases. Med. Image Anal. 14(3), 303–317 (2010)
Doost, S., Ghista, D., Su, B., Zhong, S., Morsi, Y.: Heart blood flow simulation a perspective review. Biomed. Eng. Online 15(1), 101 (2016)
Stein, K., Tezduyar, T., Benney, R.: Mesh moving techniques for fluid-structure interactions with large displacements. J. Appl. Mech. 70(1), 58 (2003)
Landajuela, M., Vidrascu, M., Chapelle, D., Fernández, M.A.: Coupling schemes for the FSI forward prediction challenge: comparative study and validation. Int. J. Numer. Meth. Biomed. Eng. (2016)
Acknowledgements
The authors gratefully acknowledge Mathieu De Craene, Èric Lluch and Hélène Langet from Philips Reasearch - Medisys for their support in acquiring patient data and their use, as well as for reviewing the presented manuscript. We would like to also acknowledge the help of INRIA - M3DISIM research team for sharing with us pressure curves generated from complex electro-mechanical simulations.
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This, A. et al. (2017). One Mesh to Rule Them All: Registration-Based Personalized Cardiac Flow Simulations. In: Pop, M., Wright, G. (eds) Functional Imaging and Modelling of the Heart. FIMH 2017. Lecture Notes in Computer Science(), vol 10263. Springer, Cham. https://doi.org/10.1007/978-3-319-59448-4_42
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DOI: https://doi.org/10.1007/978-3-319-59448-4_42
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