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.
Original language | English |
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Title of host publication | Bildverarbeitung für die Medizin 2005 |
Number of pages | 5 |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer Verlag |
Publication date | 01.12.2005 |
Pages | 325-329 |
ISBN (Print) | 978-3-540-25052-4 |
ISBN (Electronic) | 978-3-540-26431-6 |
DOIs | |
Publication status | Published - 01.12.2005 |
Event | Workshops Bildverarbeitung fur die Medizin 2005 - Heidelberg, Germany Duration: 13.03.2005 → 15.03.2005 Conference number: 97569 |