Abstract
A new variational PDE based level set method for a simultaneous image segmentation and non-rigid registration using prior shape and intensity information is presented. The segmentation is obtained by finding a non-rigid registration to the prior shape. The non-rigid registration consists of both a global rigid transformation and a local non-rigid deformation. In this model, a prior shape is used as an initial contour which leads to decrease the numerical calculation time. The model is tested against two chamber end systolic ultrasound images from thirteen human patients. The experimental results provide preliminary evidence of the effectiveness of the model in detecting the boundaries of the incompletely resolved objects which were plagued by noise, dropout, and artifact.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Chen, Y., Tagare, H., Thiruvenkadam, S., Huang, F., Wilson, D., Gopinath, K., Briggs, R., Geiser, E.: Using prior shapes in geometric active contours in a variational framework. Int. J. Comp. Vis. 50(3), 315–328 (2002)
Chen, Y., Huang, F., Tagare, H., Rao, M., Wilson, D., Geiser, E.: Using prior shapes and intensity profiles in medical image segmentation. In: Proc. Int. Conf. Comp. Vis., Nice France, pp. 1117–1124 (2003)
Chen, Y., Huang, F., Wilson, D., Geiser, E.: Segmentation with shape and intensity priors. In: Proc. Int. Conf. Image Graph, Hefei China, pp. 378–385 (2003)
Chen, Y., Guo, W., Huang, F., Wilson, D., Geiser, E.: Using prior shapes and points in medical image segmentation. In: Proc. Ener. Mini. Meth. Comp. Vis. Pat. Recog., Lisbon Portugal, pp. 291–305 (2003)
Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. Int. J. Comp. Vis. 22(1), 61–79 (1997)
Chan, T., Vese, L.: Active contours without edges. IEEE Trans. Image Proc. 10(2), 266–277 (2001)
Gaens, T., Maes, F., Vandermeulen, D., Suetens, P.: Non-rigid multimodal image registration using mutual information. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 1099–1106. Springer, Heidelberg (1998)
Hellier, P., Barillot, C.: Multimodal non-rigid warping for correction of distortions in functional MRI. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol. 1935, pp. 512–520. Springer, Heidelberg (2000)
Huang, X., Li, Z., Metaxas, D.: Learning coupled prior shape and appearance models for segmentation. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 60–69. Springer, Heidelberg (2004)
Huang, X., Metaxas, D., Chen, T.: MetaMorphs: Deformable Shape and Texture Models. In: Proc. IEEE Comp. Soc. Conf. Comp. Vis. Pat. Recog. CVPR 2004, vol. I, pp. 496–503 (2004)
Kichenassamy, S., Kumar, A., Olver, P., Tannenbaum, A., Yezzi, A.: Gradient flows and geometric active contour models. In: Proc. ICCV 1995, pp. 810–815 (1995)
Leventon, M., Faugeras, O., Grimson, E., Wells, W.: Level Set Based Segmentation with Intensity and Curvature Priors. Prc. Math. Meth. Biomed. Image Anal., 4–11 (2000)
Leventon, M., Grimson, E., Faugeras, O.: Statistical Shape Influence in Geodesic Active Contours. In: Proc. IEEE Conf. CVPR, pp. 316–323 (2000)
Likar, B., Permus, F.: A Hierarchical Approach to Elastic Registration Based on Mutual Information. Image Vis. Comp. 19(1-2), 33–44 (2000)
Moelich, M., Chan, T.: Joint segmentation and registration using logic models. UCLA CAM Report 03-06 (2003)
Meyer, C., Boes, J., Kim, B., Bland, P.: Probabilistic brain atlas construction: Thin-plate spline warping via maximization of mutual information. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 631–637. Springer, Heidelberg (1999)
Osher, S., Sethian, J.: Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulation. J. Comp. Phys. 79, 12–49 (1988)
Paragios, N., Deriche, R.: Geodesic active regions for supervised texture segmentation. IEEE ICCV Cofu Greece, 926–932 (1999)
Paragios, N.: Geodesic active regions and level set methjods: contributions and applications in artificial vision. Ph.D. Thesis Sch. Comp. Engin. Uni. Nice/Sophia Antipolis (2000)
Paragios, N.: A variational approach for the segmentation of the left ventricle in MR cardiac images. In: Proc. 1st. IEEE Workshop Var. Level Set Met. Comp. Vis., Vancouver B.C. Canada, pp. 153–160 (2001)
Rousson, M., Paragios, N.: Shape prior for level set representations. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2351, pp. 78–92. Springer, Heidelberg (2002)
Paragios, N., Rousson, M., Ramesh, V.: Matching distance functions: A shape-to-area variational approach for global-to-local registration. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2351, pp. 775–789. Springer, Heidelberg (2002)
Richard, F., Cohen, L.: A new image registration technique with free boundary constraints: Application to mammography. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2353, pp. 531–545. Springer, Heidelberg (2002)
Rueckert, D., Clarkson, M., Hill, D., Hawkes, D.: Non-rigid registration using higher-order mutual information. Med. Imaging SPIE Proc. 3979, 438–447 (2000)
Soatto, S., Yezzi, A.: Deformation: deforming motion, shape average and joint registration and segmentation of images. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, pp. 32–47. Springer, Heidelberg (2002)
Young, Y., Levy, D.: Registration-base morphing of active contours for segmentation of CT scans. Math. Biosci. Eng. 2, 79–96 (2005)
Yezzi, A., Zollei, L., Kapur, T.: A variaional approach to joint segmentation and registration. In: Proc. IEEE Conf. on Comp. Vis. Pat. Recog. (2001)
Zhao, H., Chan, T., Merriman, B., Osher, S.: A variational level set approach to multiphase motion. J. Comp. Phys. 127, 179–195 (1996)
Zitová, B., Flusser, J.: Image registration methods: a survey. Image Vis. Comp. 21, 977–1000 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
An, Jh., Chen, Y., Huang, F., Wilson, D., Geiser, E. (2005). A Variational PDE Based Level Set Method for a Simultaneous Segmentation and Non-rigid Registration. 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_36
Download citation
DOI: https://doi.org/10.1007/11566465_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29327-9
Online ISBN: 978-3-540-32094-4
eBook Packages: Computer ScienceComputer Science (R0)