Computational hemodynamic modeling based on transesophageal echocardiographic imaging

We address the problem of hemodynamic computational modeling in the left heart complex. The novelty of our approach lies in the exploitation of prior patient specific data resulting from image analysis of Transesophageal Echocardiographic Imagery (TEE). Kinematic and anatomical information in the form of left heart chambers and valve boundaries is recovered through a level-set-based user-in-the-loop segmentation on 2D TEE. The resulting boundaries in the TEE sequence are then interpolated to prescribe the motion displacements in a computational fluid dynamics (CFD) model implemented using Finite Element Modeling (FEM) applied on Arbitrary Lagrangian-Eulerian (ALE) meshes. Experimental results are presented.

[1]  Karyn S Kunzelman,et al.  Non-linear fluid-coupled computational model of the mitral valve. , 2005, The Journal of heart valve disease.

[2]  A. Yoganathan,et al.  Heart valve function: a biomechanical perspective , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

[3]  P.N. Watton,et al.  Modelling Chorded Prosthetic Mitral Valves using the Immersed Boundary Method , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Alessandro Sarti,et al.  Left ventricular volume estimation for real-time three-dimensional echocardiography , 2002, IEEE Transactions on Medical Imaging.

[5]  Amit Banerjee,et al.  Level set segmentation of hyperspectral images using joint spectral edge and signature information , 2008, 2008 11th International Conference on Information Fusion.

[6]  Patrick D. Anderson,et al.  A fluid-structure interaction method with solid-rigid contact for heart valve dynamics , 2006, J. Comput. Phys..

[7]  W. Eric L. Grimson,et al.  A shape-based approach to the segmentation of medical imagery using level sets , 2003, IEEE Transactions on Medical Imaging.

[8]  Ajit P. Yoganathan,et al.  A three-dimensional computational model of a thin-walled left ventricle , 1992, Proceedings Supercomputing '92.

[9]  C. Peskin,et al.  A three-dimensional computational method for blood flow in the heart. 1. Immersed elastic fibers in a viscous incompressible fluid , 1989 .

[10]  Robert D. Howe,et al.  Image-based mass-spring model of mitral valve closure for surgical planning , 2008, SPIE Medical Imaging.

[11]  Matteo Astorino,et al.  Fluid-structure interaction and multi-body contact. Application to aortic valves , 2009 .

[12]  Fady Alajaji,et al.  Image segmentation and labeling using the Polya urn model , 1999, IEEE Trans. Image Process..

[13]  Charles S. Peskin,et al.  Mathematical aspects of heart physiology , 1975 .

[14]  Dimitris N. Metaxas,et al.  Computational modeling and simulation of heart ventricular mechanics with tagged MRI , 2005, SPM '05.

[15]  Jean-Frédéric Gerbeau,et al.  A partitioned fluid-structure algorithm for elastic thin valves with contact , 2008 .

[16]  Chunming Li,et al.  Level set evolution without re-initialization: a new variational formulation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[17]  S. Osher.  A level set formulation for the solution of the Dirichlet problem for Hamilton-Jacobi equations , 1993 .

[18]  Charles S. Peskin,et al.  Flow patterns around heart valves: a digital computer method for solving the equations of motion , 1973 .

[19]  J B Bassingthwaighte.  Design and strategy for the Cardionome Project. , 1997, Advances in experimental medicine and biology.