Matrix computations (3rd ed.)
Shape Constrained Deformable Models for 3D Medical Image Segmentation
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Towards a comprehensive geometric model of the heart
FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
Numerical simulation of the left ventricle and atrium as reference for pathological hearts
BioMech '07 Proceedings of the Fifth IASTED International Conference on Biomechanics
Automatic whole heart segmentation in static magnetic resonance image volumes
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts
Image and Vision Computing
4D cardiac reconstruction using high resolution CT images
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Towards a comprehensive geometric model of the heart
FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
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Multi–slice computed tomography image series are a valuable source of information to extract shape and motion parameters of the heart. We present a method how to segment and label all main chambers (both ventricles and atria) and connected vessels (arteries and main vein trunks) from such images and to track their movement over the cardiac cycle. A framework is presented to construct a multi–surface triangular model enclosing all blood–filled cavities and the main myocardium as well as to adapt this model to unseen images, and to propagate it from phase to phase. While model construction still requires a reasonable amount of user interaction, adaptation is mostly automated, and propagation works fully automatically. The adaptation method by deformable surface models requires a set of landmarks to be manually located for one of the cardiac phases for model initialisation.