Abstract
This paper presents a novel method for medical image registration. The global transformation is obtained by composing affine transformations, which are recovered locally from given landmarks.Transformations of adjacent regions are smoothed to avoid blocking artifacts, so that a unique continuous and differentiable global function is obtained. Such composition is operated using a technique derived from fuzzy C-means clustering. The method was successfully tested on several datasets; results, both qualitative and quantitative, are shown. Comparisons with other methods are reported. Final considerations on the efficiency of the technique are explained.
Chapter PDF
Similar content being viewed by others
References
Bookstein, F.L.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence 11(6), 567–585 (1989)
Arad, N., Dyn, N., Reisfeld, D., Yeshurun, Y.: Image warping by radial basis functions: Application to facial expressions. Computer Vision, Graphics, and Image Processing. Graphical Models and Image Processing 56(2), 161–172 (1994)
Rohr, K., Stiehl, H.S., Sprengel, R., Buzug, T.M., Weese, J., Kuhn, M.H.: Landmark-based elastic registration using approximating thin-plate splines. IEEE Transactions on Medical Imaging 20(6), 526–534 (2001)
Bartoli, A., Perriollat, M., Chambon, S.: Generalized thin-plate spline warps. IEEE International Conference on Computer Vision and Pattern Recognition, cvpr (2007)
Johnson, H.J., Christensen, G.E.: Consistent landmark and intensity-based image registration. IEEE Transactions on Medical Imaging 21, 450–461 (2002)
Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms (Advanced Applications in Pattern Recognition). Springer, Heidelberg (1981)
Delaunay, B.N.: Sur la sphère vide. Bulletin of Academy of Sciences of the USSR (6), 793–800 (1934)
Ardizzone, E., Gallea, R., Gambino, O., Pirrone, R.: Fuzzy c-means inspired free form deformation technique for registration. In: WILF, International Workshop on Fuzzy Logic and Applications (2009)
Cocosco, C.A., Kollokian, V., Kwan, R.K.S., Pike, G.B., Evans, A.C.: Brainweb: Online interface to a 3d mri simulated brain database. NeuroImage 5, 425 (1997)
Kwan, R.K.S., Evans, A.C., Pike, G.B.: Mri simulation-based evaluation of image-processing and classification methods. IEEE Transactions on Medical Imaging 18(11), 1085–1097 (1999)
Kwan, R.K.-S., Evans, A.C., Pike, G.B.: An extensible mri simulator for post-processing evaluation. In: Höhne, K.H., Kikinis, R. (eds.) VBC 1996. LNCS, vol. 1131, pp. 135–140. Springer, Heidelberg (1996)
Collins, D.L., Zijdenbos, A.P., Kollokian, V., Sled, J.G., Kabani, N.J., Holmes, C.J., Evans, A.C.: Design and construction of a realistic digital brain phantom. IEEE Trans. Med. Imaging 17(3), 463–468 (1998)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing 13, 600–612 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ardizzone, E., Gallea, R., Gambino, O., Pirrone, R. (2009). Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration. In: Foggia, P., Sansone, C., Vento, M. (eds) Image Analysis and Processing – ICIAP 2009. ICIAP 2009. Lecture Notes in Computer Science, vol 5716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04146-4_83
Download citation
DOI: https://doi.org/10.1007/978-3-642-04146-4_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04145-7
Online ISBN: 978-3-642-04146-4
eBook Packages: Computer ScienceComputer Science (R0)