Co-dimension 2 Geodesic Active Contours for MRA Segmentation
Automatic and semi-automatic magnetic resonance angiography (MRA) segmentation techniques can potentially save radiologists large amounts of time required for manual segmentation and can facilitate further data analysis. The proposed MRA segmentation method uses a mathematical modeling technique which is well-suited to the complicated curve-like structure of blood vessels. We define the segmentation task as an energy minimization over all 3D curves and use a level set method to search for a solution. Our approach is an extension of previous level set segmentation techniques to higher co-dimension.
KeywordsMagnetic Resonance Angiography Maximum Intensity Projection Magnetic Resonance Angiography Image Geodesic Active Contour Mathematical Modeling Technique
Unable to display preview. Download preview PDF.
- 10.Kichenassamy, A., Kumar, A., Olver, P., Tannenbaum, A. and Yezzi, A.: Gradient flows and geometric active contour models. In Proc. IEEE Int’l Conf. Computer Vision (1995) 810–815Google Scholar
- 11.Sapiro, G.: Vector-valued active contours. In Proc. IEEE Conf. Computer Vision and Pattern Recognition (1996) 680–685Google Scholar
- 12.Sethian, J.A.: Level Set Methods. Cambridge University Press (1996)Google Scholar