Free-form deformation of solid geometric models
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis
International Journal of Computer Vision
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images
International Journal of Computer Vision
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
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In this paper we propose a novel approach to ventricular motion estimation and segmentation. Our method is based on a MRF formulation where an optimal intensity-based separation between the endocardium and the rest of the cardiac volume is to be determined. Such a term is defined in the spatiotemporal domain, where the ventricular wall motion is introduced to account for correspondences between the consecutive segmentation maps. The estimation of the deformations is done through a continuous deformation field (FFD) where the displacements of the control points are determined using discrete labeling approach. Principles from linear programming and in particular the Primal/Dual Schema is used to recover the optimal solution in both spaces. Promising experimental results obtained on 13 MR spatiotemporal data sets demonstrate the potentials of our method.