Three-dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ

Authors:
Heng Huang;Li Shen;Nha Nguyen
Affiliations:
Department of Computer Science and Engineering Universityof Texas at Arlington TX 76016, USA;Center for Neuroimaging, Dept. of Radiology Center forComputational Biology & Bioinformatics Indiana University School of MedicineIndianapolis, IN 46202;Department of Electrical Engineering University of Texasat Arlington TX 76016, USA
Venue:
Simulation
Year:
2007

Citing 6
Cited 1

Practical methods of optimization; (2nd ed.)

Practical methods of optimization; (2nd ed.)
Parametrization of closed surfaces for 3-D shape description

Computer Vision and Image Understanding
Shape versus Size: Improved Understanding of the Morphology of Brain Structures

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
An Electro-mechanical Model of the Heart for Cardiac Image Analysis

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals and Ultrasound Images

Proceedings of the First International Workshop on Functional Imaging and Modeling of the Heart
Surface alignment of 3d spherical harmonic models: application to cardiac MRI analysis

MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I

Preface: Special Issue on Performance Modeling and Simulation in Healthcare Information Systems

Simulation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Computer models of the heart have become useful tools inimproving understanding of cardiac electrical activation at thecellular level, and in analyzing mechanisms of arrhythmias andantiarrhythmic therapies. In this paper, we propose to usespherical harmonic (SPHARM) surface reconstruction and alignmentmethods to generate curvilinear meshes for finite element models ofventricular anatomy which incorporate detailed structuralinformation. The endocardial and epicardial surfaces are defined bySPHARM, and the volume between these surfaces is divided intonested shells. Consequently, the resulting mesh compriseshexahedral elements. Using this novel SPHARM-based meshing method,the transmembrane potential propagation is simulated, based onFitzHugh-Nagumo reaction-diffusion equations. The dynamicelectrical activation propagations are simulated on realisticcardiac data during a heart cycle. The obtained results clearlydemonstrate an accurate resolution of the cardiac potential duringthe excitation. Our novel curvilinear mesh models have a greatpotential to be used in an improved simulation of cardiovascularpathologies for testing therapy strategies and planninginterventions.