A geometric snake model for segmentation of medical imagery.
In this note, we employ the new geometric active contour models formulated in [25] and [26] 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.
Yezzi
A
A
Department of Electrical Engineering, University of Minnesota, Minneapolis 55455, USA.
Kichenassamy
S
S
Kumar
A
A
Olver
P
P
Tannenbaum
A
A
D000465:Algorithms; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015233:Models, Statistical; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted