Active shape models—their training and application
Computer Vision and Image Understanding
Robust Active Shape Model Search
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
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This paper presents a novel approach for robust and fully automatic segmentation with active shape model search. The proposed method incorporates global geometric constraints during feature point search by using inter-landmark conditional probabilities. The A* graph search algorithm is adapted to identify in the image the optimal set of valid feature points. The technique is extended to enable reliable and fast automatic initialization of the ASM search. Validation with 2-D and 3-D MR segmentation of the left ventricular epi-cardial border demonstrates significant improvement in robustness and overall accuracy, while eliminating the need for manual initialization.