Influence of geometric variations on lv activation times: a study on an atlas-based virtual population

Authors:
Corné Hoogendoorn;Ali Pashaei;Rafael Sebastián;Federico M. Sukno;Oscar Cámara;Alejandro F. Frangi
Affiliations:
Center for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain and Networking Center on Biomedical Research, CIBER-BBN, Barcelona, Spain;Center for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain and Networking Center on Biomedical Research, CIBER-BBN, Barcelona, Spain;Computational Multi-Scale Physiology Lab, Universitat de València, Valencia, Spain;Networking Center on Biomedical Research, CIBER-BBN, Barcelona, Spain and Center for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain;Center for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain and Networking Center on Biomedical Research, CIBER-BBN, Barcelona, Spain;Center for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain and Networking Center on Biomedical Research, CIBER-BBN, Barcelona, Spain an ...
Venue:
STACOM'10/CESC'10 Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge
Year:
2010

Citing 2
Cited 2

Principal Warps: Thin-Plate Splines and the Decomposition of Deformations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Trainable method of parametric shape description

Image and Vision Computing - Special issue: BMVC 1991

Sensitivity analysis of mesh warping and subsampling strategies for generating large scale electrophysiological simulation data

FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Effect of scar development on fast electrophysiological models of the human heart: in-silico study on atlas-based virtual populations

FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present the fully automated pipeline we have developed to obtain electrophysiological simulations of the heart on a large atlas-based virtual population. This virtual population was generated from a statistical model of left ventricular geometry, represented by a surface model. Correspondence between tetrahedralized volumetric meshes was obtained using Thin Plate Spline warps. Simulations are based on the fast solving of Eikonal equations, and stimulation sites correspond to physiological activation. We report variations of total activation time introduced by geometry, as well as variations in the location of last activation. The obtained results suggest that the total activation time has a strong dependence on LV geometrical variation such as dilation-to-hypertrophy.