Abstract
In the context of stroke therapy simulation, a method for the segmentation and reconstruction of human vasculature is presented and evaluated. Based on CTA scans, semi-automatic tools have been developed to reduce dataset noise, to segment using active contours, to extract the skeleton, to estimate the vessel radii and to reconstruct the associated surface. The robustness and accuracy of our technique are evaluated on a vascular phantom scanned in different orientations. The reconstructed surface is compared to a surface generated by marching cubes followed by decimation and smoothing. Experiments show that the proposed technique reaches a good balance in terms of smoothness, number of triangles, and distance error. The reconstructed surface is suitable for real-time simulation, interactive navigation and visualization.
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References
Wells, W.M., Grimson, W.E.L., Kikinis, R., Jolesz, F.A.: Adaptive Segmentation of MRI Data. In: Ayache, N. (ed.) CVRMed 1995. LNCS, vol. 905, pp. 59–69. Springer, Heidelberg (1995)
Sethian, J.A.: Level Set Methods and Fast Marching Methods: Evolving Interfaces in Comp. Geom. In: Fluid Mech., Comp. Vision and Materials Sci. Cambridge Univ. Press, Cambridge (1999)
Suri, J.S., Liu, K., Singh, S., Laxminarayan, S.N., Zeng, X., Reden, L.: Shape recovery algorithms using level sets in 2D/3D medical imagery: a state-of-the-art review. IEEE Transactions on Information Technology in Biomedicine 6, 8–28 (2002)
Bühler, K., Felkel, P., La Cruz, A.: Geometric Methods for Vessel Visualization and Quantification - A Survey. VRVis Research Center, Austria, Technical Report, pp. 24-48 (2002)
Felkel, P., Wegenkittl, R., Bühler, K.: Surface Models of Tube Trees. In: Computer Graphics International (CGI 2004), pp. 70–77 (2004)
Krissian, K.: Flux-based anisotropic diffusion applied to enhancement of 3-D angiogram. IEEE Trans Med Imaging 21, 1440–1442 (2002)
Osher, S., Sethian, J.A.: Fronts propagating with curvature dependent speed: algorithms based on the Hamilton-Jacobi formalism. J. Comput. Physics 79, 12–49 (1988)
Lorigo, L.M., Faugeras, O.D., Grimson, W.E.L., Keriven, R., Kikinis, R., Nabavi, A., Westin, C.-F.: CURVES: Curve Evolution for Vessel Segm. MedIA 5, 195–206 (2001)
Lorensen, W.E., Cline, H.E.: Marching Cubes: A high resolution 3-D surface construction algorithm Computer Graphics, vol. 21, pp. 163–169 (1987)
Malandain, G., Bertrand, G., Ayache, N.: Topological Segmentation of Discrete Surfaces. IJCV 10, 183–197 (1993)
Calabi, E., Olver, P.J., Shakiban, C., Tannenbaum, A., Haker, S.: Differential and Numerically Invariant Signature Curves Applied to Object Recognition. IJCV (26), 107–135 (1998)
Press, W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P.: Numerical Recipes in C. University Press, Cambridge (1992)
Bland, J.M., Altman, D.G.: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, i: 307–310 (1986)
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Luboz, V. et al. (2005). A Segmentation and Reconstruction Technique for 3D Vascular Structures. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566465_6
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DOI: https://doi.org/10.1007/11566465_6
Publisher Name: Springer, Berlin, Heidelberg
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