Global optimization
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Iterative multi-scale registration without landmarks
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
A novel projection based approach for medical image registration
WBIR'06 Proceedings of the Third international conference on Biomedical Image Registration
Registration of 2D Histological Images of Bone Implants with 3D SRμCT Volumes
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Hi-index | 0.00 |
Rigid 2D/3D image registration is a common strategy in medical image processing. In this paper we present an extended global optimization strategy for a rigid 2D/3D image registration that consists of three components: a combination of a global and a local optimizer, a combination of a multi-scale and a multi-resolution approach, and a combination of an in-plane and an out-of-plane registration. The global optimizer Adaptive Random Search is used to provide several coarse registration results on a low resolution level that are refined by the local optimizer Best Neighbor on a higher resolution level. We evaluate the performance and the precision of our registration algorithm using two phantom models. We could approve that all three components of our optimization strategy lead to an significant improvement of the registration.