Non-linear 2D and 3D Registration Using Block-Matching and B-Splines

Heike Hufnagel, Xavier Pennec, Grégoire Malandain, Heinz Handels, Nicholas Ayache


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.

Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2005
Number of pages5
Place of PublicationBerlin, Heidelberg
PublisherSpringer Verlag
Publication date01.12.2005
ISBN (Print)978-3-540-25052-4
ISBN (Electronic)978-3-540-26431-6
Publication statusPublished - 01.12.2005
EventWorkshops Bildverarbeitung fur die Medizin 2005 - Heidelberg, Germany
Duration: 13.03.200515.03.2005
Conference number: 97569


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