Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
International Journal of Computer Vision
Myocardial segmentation using constrained multi-seeded region growing
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Model-based processing scheme for quantitative 4-D cardiac MRI analysis
IEEE Transactions on Information Technology in Biomedicine
Left ventricular segmentation challenge from cardiac MRI: a collation study
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
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Despite the important role of object tracking using the Optical Flow (OF) in computer graphics applications, it has a limited role in segmenting speckle-free medical images such as magnetic resonance images of the heart. In this work, we propose a novel solution of the OF equation that allows incorporating additional constraints of the shape of the segmented object. We formulate a cost function that include the OF constraint in addition to myocardial contour properties such as smoothness and elasticity. The method is totally different from the common naïve combination of OF estimation within the active contour model framework. The technique is applied to dataset of 20 patients and comparison with manual segmentation shows sensitivity and specificity levels of 93% and 99% respectively is obtained through the challenge validation system.