Abstract
In this paper, we propose a two-stage level set segmentation framework to extract vascular tree from magnetic resonance angiography(MRA). First, we smooth the isosurface of MRA by anisotropic diffusion filter. Then this smoothed surface is treated as the initial localization of the desired contour, and used in the following geodesic active contours method, which provides accurate vascular structure. Results on cases demonstrate the effectiveness and accuracy of the approach.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Jasjit, S., Kecheng, L., Laura, R., Swamy, L.: A Review on MR Vascular Image Processing: Skeleton Versus Nonskeleton Approaches. Part II. IEEE Trans. Information technology in Biomedicine 6(4), 338–350 (2002)
Jasjit, S., Kecheng, L., Laura, R., Swamy, L.: A Review on MR Vascular Image Processing Algorithms: Acquisition and Prefiltering: Part I. IEEE Trans. Information technology in Biomedicine 6(4), 324–337 (2002)
Kirbas, C., Quek, F.: Vessel Extraction Techniques and Algorithms: A Survey. In: IEEE Conference Bio-Informatics and Bio-Engineering (BIBE), pp. 238–245 (2003)
Krissian, K., Malandain, G., Ayache, N., Vaillant, R., Trousset, Y.: Model Based Detection of Tubular Structures in 3D Images. Computer Vision and Image Understanding 80(2), 130–171 (2000)
Osher, S., Sethian, J.A.: Fronts propagating with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics 79, 12–49 (1988)
Han, X., Xu, C., Prince, J.L.: A Topology Preserving Deformable Model Using Level Sets. In: Proc. IEEE Conf. CVPR 2001, Kauai, HI, December 2001, vol. II, pp. 765–770 (2001)
Ross, W., David, B., Ken, M., Neha, S.: A Framework for Level Set Segmentation of Volume Datasets. In: Proceedings of ACM International Workshop on Volume Graphics, June 2001, pp. 159–168 (2001)
Hossam, E.D., Abd, E.M.: Cerebrovascular segmentation for MRA data using level sets. International Congress Series, June 2003, vol. 1256, pp. 246–252 (2003)
Xu, C., Pham, D.L., Prince, J.L.: Medical Image Segmentation Using Deformable Models, May 2000, pp. 129–174. SPIE Press (2000)
Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. In: Proc. 5th Int’l. Conf. Computer Vision, pp. 694–699 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhao, Y., Zhang, L., Li, M. (2004). Vascular Segmentation Using Level Set Method. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_80
Download citation
DOI: https://doi.org/10.1007/978-3-540-30497-5_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24127-0
Online ISBN: 978-3-540-30497-5
eBook Packages: Computer ScienceComputer Science (R0)