Abstract
The study of hemodynamic conditions in patient-specific geometries is of great interest to the understanding of cardio-vascular pathologies. Performing large-scale studies of these blood flow conditions requires the building of databases with numerous flow simulations in known correspondences. We propose a method for efficient preparation of the imaging data for use in such studies, comprising an automatic high quality mesh generation strategy and a coordinate mapping technique. Our approach deforms a high quality template mesh to fit a patient-specific geometry using a transformation obtained in a registration step. A valuable feature of this technique is that all the generated meshes are by definition co-registered and have the same mesh topology. This, combined with the coordinate mapping makes direct inter-patient comparisons significantly easier. We apply our method to generate patient-specific meshes of the adbominal aortic bifurcation and demonstrate that it is able to provide high quality meshes in a fully automatic way.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
McGregor, R.H., Szczerba, D., Muralidhar, K., Székely, G.: A fast alternative to computational fluid dynamics for high quality imaging of blood flow. In: MICCAI, pp. 124–131 (2009)
Leung, J.H., Wright, A.R., Cheshire, N., Crane, J., Thom, S.A., Hughes, A.D., Xu, Y.: Fluid structure interaction of patient specific abdominal aortic aneurysms: a comparison with solid stress models. BioMedical Engineering OnLine 5(33) (2006)
Cebral, J.R., Yim, P.J., Löhner, R., Soto, O., Choyke, P.L.: Blood flow modeling in carotid arteries with computational fluid dynamics and MR imaging. Academic Radiology 9(11), 1286–1299 (2002)
Scotti, C.M., Jimenez, J., Muluk, S.C., Finol, E.A.: Wall stress and flow dynamics in abdominal aortic aneurysms: finite element analysis vs. fluid-structure interaction. Computer Methods In Biomechanics And Biomedical Engineering 11(3), 301–322 (2008)
Baghdadi, L., Steinman, D.A., Ladak, H.M.: Template-based finite-element mesh generation from medical images. Computer Methods and Programs in Biomedicine 77(1), 11–21 (2005)
Zeng, D., Ethier, C.: A mesh-updating scheme for hemodynamic simulations in vessels undergoing large deformations. Journal of Engineering Mathematics V47(3), 405–418 (2003)
Barber, D., Oubel, E., Frangi, A., Hose, D.: Efficient computational fluid dynamics mesh generation by image registration. Medical Image Analysis 11(6), 648–662 (2007)
Antiga, L., Ene-Iordache, B., Remuzzi, A.: Computational geometry for patient-specific reconstruction and meshing of blood vessels from MR and CT angiography. IEEE Transactions on Medical Imaging 22(5), 674–684 (2003)
Taubin, G.: Curve and surface smoothing without shrinkage. In: ICCV, pp. 852–857 (1995)
Antiga, L., Steinman, D.: Robust and objective decomposition and mapping of bifurcating vessels. IEEE Transactions on Medical Imaging 23(6), 704–713 (2004)
Fedorov, A., Chrisochoides, N.: Tetrahedral mesh generation for non-rigid registration of brain MRI: Analysis of the requirements and evaluation of solutions, pp. 55–72 (2008)
Si, H.: Adaptive tetrahedral mesh generation by constrained delaunay refinement. International Journal for Numerical Methods in Engineering 75(7), 856–880 (2008)
Garland, M., Heckbert, P.S.: Surface simplification using quadric error metrics. In: SIGGRAPH, pp. 209–216 (1997)
Schöberl, J.: Netgen - an advancing front 2D/3D-mesh generator based on abstract rules. Computing and Visualization in Science 1, 41–52 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
McGregor, R.H.P., Lloyd, B.A., Szczerba, D., Székely, G. (2010). Efficient Generation of Corresponding Meshes for Biomedical Flow Simulations. In: Bello, F., Cotin, S. (eds) Biomedical Simulation. ISBMS 2010. Lecture Notes in Computer Science, vol 5958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11615-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-11615-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11614-8
Online ISBN: 978-3-642-11615-5
eBook Packages: Computer ScienceComputer Science (R0)