Abstract
Despite being routinely required in medical applications, deformable surface registration is notoriously difficult due to large intersubject variability and complex geometry of most medical datasets. We present a general and flexible deformable matching framework based on generalized surface flows that efficiently tackles these issues through tailored deformation priors and multiresolution computations. The value of our approach over existing methods is demonstrated for automatic and user-guided cortical registration.
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
Thompson, P.M., Mega, M.S., Vidal, C., Rapoport, J., Toga, A.W.: Detecting disease-specific patterns of brain structure using cortical pattern matching and a population-based probabilistic brain atlas. In: Insana, M.F., Leahy, R.M. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 488–501. Springer, Heidelberg (2001)
Nahas, G.G., Burks, T.F. (eds.): Drug Abuse in the Decade of the Brain. IOS Press, Amsterdam (1997)
Hurdal, M.K., Stephenson, K., Bowers, P.L., Sumners, D.W.L., Rottenberg, D.A.: Coordinate system for conformal cerebellar flat maps. NeuroImage 11, S467 (2000)
Bakircioglu, M., Grenander, U., Khaneja, N., Miller, M.I.: Curve matching on brain surfaces using frenet distances. Human Brain Mapping 6, 329–333 (1998)
Fischl, B., Sereno, M.I., Tootell, R.B.H., Dale, A.M.: High-resolution inter-subject averaging and a coordinate system for the cortical surface. Human Brain Mapping 8, 272–284 (1998)
Tosun, D., Rettmann, M.E., Prince, J.L.: Mapping techniques for aligning sulci across multiple brains. Medical Image Analysis 8(3), 295–309 (2005)
Wang, Y., Gu, X., Hayashi, K., Chan, T., Thompson, P., Yau, S.: Brain surface parameterization using riemann surface structure. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 657–665. Springer, Heidelberg (2005)
Joshi, A., Shattuck, D., Thompson, P., Leahy, R.: A framework for registration, characterization and classification of cortically constrained functional imaging data. In: Christensen, G.E., Sonka, M. (eds.) IPMI 2005. LNCS, vol. 3565, Springer, Heidelberg (2005)
Thompson, P., Toga, A.: A framework for computational anatomy. Computing and Visualization in Science 5, 1–12 (2002)
Litke, N., Droske, M., Rumpf, M., Schröder, P.: An image processing approach to surface matching. In: Proceedings of the Symposium on Geometry Processing (2005)
Woods, R.P., Grafton, S.T., Holmes, C.J., Cherry, S.R., Mazziotta, J.C.: Automated image registration: I. J. Comp. Assist. Tomogr. 22, 139–152 (1998)
Shen, D., Davatzikos, C.: Hammer: Hierarchical attribute matching mechanism for elastic registration. IEEE Trans. Med. Imaging 21(8) (2002)
Charpiat, G., Keriven, R., Pons, J.P., Faugeras, O.: Designing spatially coherent minimizing flows for variational problems based on active contours. In: ICCV (2) pp. 1403–1408 (2005)
Sundaramoorthi, G., Yezzi, A., Mennucci, A.C.G.: Sobolev active contours. Int. J. of Comp. Vision (to appear)
Eckstein, I., Pons, J.P., Tong, Y., Kuo, C.C., Desbrun, M.: Generalized surface flows for mesh processing. In: Symposium on Geometry Processing (2007)
Xu, C., Prince, J.L.: Snakes, shapes, and gradient vector flow. IEEE TIP 7(3), 359–369 (1998)
Charpiat, G., Faugeras, O., Keriven, R.: Approximations of shape metrics and application to shape warping and empirical shape statistics. FoCM 5(1), 1–58 (2005)
Meyer, M., Desbrun, M., Schröder, P., Barr, A.: Discrete differential-geometry operators for triangulated 2-manifolds. In: Proc. of the Int. Workshop on Vis. and Math. (2002)
Pinkall, U., Polthier, K.: Computing discrete minimal surfaces and their conjugates. Experimental Mathematics 2(1), 15–36 (1993)
Chui, H., Rangarajan, A.: A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding 89(2-3), 114–141 (2003)
Desbrun, M., Meyer, M., Schröder, P., Barr, A.: Implicit fairing of irregular meshes using diffusion and curvature flow. ACM SIGGRAPH, 317–324 (1999)
Garland, M., Heckbert, P.: Surface simplification using quadric error metrics. In: Proceedings of ACM SIGGRAPH, pp. 209–216 (1997)
Sheffer, A., Kraevoy, V.: Pyramid coordinates for morphing. 3DPVT, 68–75 (2004)
Shattuck, D.W., Leahy, R.M.: BrainSuite: an automated cortical surface identification tool. Med. Image Anal 6(2), 129–142 (2002)
Beg, M., Miller, M., Trouvé, A., Younes, L.: Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms. IJCV 61(2), 139–157 (2005)
Kilian, M., Mitra, N.J., Pottmann, H.: Geometric modeling in shape space. In: ACM Transactions on Graphics (SIGGRAPH), ACM Press, New York (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Eckstein, I., Joshi, A.A., Kuo, C.C.J., Leahy, R., Desbrun, M. (2007). Generalized Surface Flows for Deformable Registration and Cortical Matching. In: Ayache, N., Ourselin, S., Maeder, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007. MICCAI 2007. Lecture Notes in Computer Science, vol 4791. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75757-3_84
Download citation
DOI: https://doi.org/10.1007/978-3-540-75757-3_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75756-6
Online ISBN: 978-3-540-75757-3
eBook Packages: Computer ScienceComputer Science (R0)