Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
Fast volumetric deformation on general purpose hardware
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
Integrated Registration and Visualization of Medical Image Data
CGI '98 Proceedings of the Computer Graphics International 1998
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
Nonrigid registration of brain MRI using NURBS
Pattern Recognition Letters
Efficient GPU-accelerated elastic image registration
BioMED '08 Proceedings of the Sixth IASTED International Conference on Biomedical Engineering
A survey of medical image registration on graphics hardware
Computer Methods and Programs in Biomedicine
GPU accelerated normalized mutual information and B-spline transformation
EG VCBM'08 Proceedings of the First Eurographics conference on Visual Computing for Biomedicine
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In this paper we introduce a new method for non-rigid voxel-based registration. In many medical applications there is a need to establish an alignment between two image datasets. Often a registration of a time-shifted medical image sequence with appearing deformation of soft tissue (e.g. pre- and intraoperative data) has to be conducted. Soft tissue deformations are usually highly non-linear. For the handling of this phenomenon and for obtaining an optimal non-linear alignment of respective datasets we transform one of them using 3D B茅zier functions, which provides some inherent smoothness as well as elasticity. In order to find the optimal transformation, many evaluations of this B茅zier function are necessary. In order to make the method more efficient, graphics hardware is extensively used. We applied our non-rigid algorithm successfully to MR brain images in several clinical cases and showed its value.