A survey of shaped-based registration and segmentation techniques for cardiac images
Computer Vision and Image Understanding
Fast fully automatic segmentation of the myocardium in 2D cine MR images
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
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A new formulation of active contours based on explicit functions has been recently suggested. This novel framework allows real-time 3-D segmentation since it reduces the dimensionality of the segmentation problem. In this paper, we propose a B-spline formulation of this approach, which further improves the computational efficiency of the algorithm. We also show that this framework allows evolving the active contour using local region-based terms, thereby overcoming the limitations of the original method while preserving computational speed. The feasibility of real-time 3-D segmentation is demonstrated using simulated and medical data such as liver computer tomography and cardiac ultrasound images.