A geometric snake model for segmentation of medical imagery
Yezzi, A., Jr.; Kichenassamy, S.; Kumar, A.; Olver, P.; Tannenbaum, A.
Medical Imaging, IEEE Transactions on
Volume 16, Issue 2, April 1997 Page(s):199 - 209
Digital Object Identifier   10.1109/42.563665
Summary:We employ the new geometric active contour models, previously formulated, for edge detection and segmentation of magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound medical imagery. Our method is based on defining feature-based metrics on a given image which in turn leads to a novel snake paradigm in which the feature of interest may be considered to lie at the bottom of a potential well. Thus, the snake is attracted very quickly and efficiently to the desired feature.

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