Segmentation for MRA Image: An Improved Level Set Approach

Segmentation of the vascular system from magnetic resonance angiography (MRA) volumetric data is still a challenging problem. Level set evolution methods combine global smoothness with the flexibility of topology changes while region-grow algorithms provide pretty fast classification inside the target regions. We present a novel level set framework combined with region-grow algorithm for the segmentation of complicated structures from volumetric medical images. This framework reduces the computational complexity while remains the accuracy. The results demonstrate the potential of our approach. This framework should also be suitable for other 3D image segmentation that the region of interest to be segmented has a relatively large size in width, height or both

[1]  R. Kikinis,et al.  Computer-assisted surgical planning for cerebrovascular neurosurgery. , 1997, Neurosurgery.

[2]  J. Alison Noble,et al.  An adaptive segmentation algorithm for time-of-flight MRA data , 1999, IEEE Transactions on Medical Imaging.

[3]  Olivier D. Faugeras,et al.  Codimension-two geodesic active contours for the segmentation of tubular structures , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[4]  James A. Sethian,et al.  Level Set Methods and Fast Marching Methods , 1999 .

[5]  Stephen R. Aylward,et al.  Symbolic description of intracerebral vessels segmented from magnetic resonance angiograms and evaluation by comparison with X-ray angiograms , 2001, Medical Image Anal..

[6]  O. Faugeras,et al.  Statistical shape influence in geodesic active contours , 2002, 5th IEEE EMBS International Summer School on Biomedical Imaging, 2002..

[7]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[8]  Aly A. Farag,et al.  MRA data segmentation using level sets , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[9]  Ronald M. Summers,et al.  Grey-Scale Skeletonization of Small Vessels in Magnetic Resonance Angiography , 2000, IEEE Trans. Medical Imaging.