Average brain models: a convergence study
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
Interactive Organ Segmentation Using Graph Cuts
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
International Journal of Computer Vision
Statistical analysis of the human cardiac fiber architecture from DT-MRI
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Automated personalised human left ventricular FE models to investigate heart failure mechanics
STACOM'12 Proceedings of the third international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Patient-specific models of cardiac biomechanics
Journal of Computational Physics
Atlases of cardiac fiber differential geometry
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
Spectral Log-Demons: Diffeomorphic Image Registration with Very Large Deformations
International Journal of Computer Vision
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Criteria of normality of the cardiac fibers are important in cardiomyopathies. In this paper, we investigate the differences in the cardiac fiber structures between 10 hearts classified as healthy and 6 hearts classified as abnormal, and determine if properties of the cardiac fiber structures can be discriminants for abnormality. We compare the variability of the fiber directions from abnormal hearts to an atlas of healthy hearts. The human atlas of the cardiac fiber structures is built with an automated framework based on symmetric Log-domain diffeomorphic demons. We study the angular variability of the different fiber structures. Our preliminary results might suggest that a higher variability of the fiber structure directions could possibly characterize abnormality of a heart.