Abstract
We developed a non-linear registration technique to align images that feature anatomical variabilities. The algorithm is based on a block-matching technique that identifies a sparse displacement vector field from the iconic features of two images. Subsequently, the displacement vectors are used as sampling points to estimate a parametric non-linear transformation that is represented by a tensor product of B-Splines. The B-Spline transformation estimation approximates the correspondences while minimizing the second order derivatives in the transformation function. The block-matching and the transformation estimation are then iterated in a multiscale framework to improve robustness and accuracy. Experiments on 2D histological slices and 3D MR images show qualitatively good results.
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References
Rueckert D, Sonoda LI, Hayes C, et al. Nonrigid Registration Using Free-Form Deformations: Application to Breast MR Images. IEEE Trans Med Imaging 1999;18(8):712–721.
Kybic J, Unser M. Fast Parametric Elastic Image Registration. IEEE Trans Med Imaging 2003;12(11):1427–1442.
Rohde GK, Aldroubi A, Dawant BM. Adaptive free-form deformation for interpatient medical image registration. SPIE Medical Imaging 2001;4322:1578–1587.
Ourselin S, Roche A, Prima S, Ayache N. Block Matching: A General framework to improve robustness of rigid registration of medical images. In: Medical Image Computing and Computer-Assisted Intervention, MICCAI '00. vol. 1935 of Lecture Notes in Computer Science; 2000. p. 557–566.
Ourselin S. Recalage d'images médicales par appariement de régions. Application à la constuction d'atlas histologiques 3D. Ph.D. thesis. Université de Nice-Sophia Antipolis; 2002.
Ourselin S, Roche A, Subsol G, et al. Reconstructing a 3D Structure from Serial Histological Sections. Image and Vision Computing 2001;19(1–2):25–31.
Hufnagel H. Non-linear 2D and 3D Registration Using Block-Matching and B-Splines. Master's thesis. INRIA Sophia Antipolis, France-University of Luebeck, Germany; 2004.
Declerck J. Étude de la dynamique cardiaque par analyse d'images tridimensionnelles. Ph.D. thesis. Université de Nice-Sophia Antipolis; 1997.
Stefanescu R, Pennec X, Ayache N. Grid Powered Nonlinear Image Registration with Locally Adaptive Regularization. In: Medical Image Analysis. vol. 8; 2004. p. 325–342. MICCAI 2003 Special Issue.
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© 2005 Springer-Verlag Berlin Heidelberg
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Hufnagel, H., Pennec, X., Malandain, G., Handels, H., Ayache, N. (2005). Non-linear 2D and 3D Registration Using Block-Matching and B-Splines. In: Meinzer, HP., Handels, H., Horsch, A., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26431-0_67
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DOI: https://doi.org/10.1007/3-540-26431-0_67
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