Method of multi-resolution 3D image registration by mutual information.
- Author:
Haiping REN
1
;
Wenkai WU
;
Hu YANG
;
Shengzu CHEN
Author Information
1. Department of Nuclear Medicine, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Brain;
anatomy & histology;
Humans;
Image Processing, Computer-Assisted;
methods;
Imaging, Three-Dimensional
- From:
Journal of Biomedical Engineering
2002;19(4):599-610
- CountryChina
- Language:Chinese
-
Abstract:
Maximization of mutual information is a powerful criterion for 3D medical image registration, allowing robust and fully accurate automated rigid registration of multi-modal images in a various applications. In this paper, a method based on normalized mutual information for 3D image registration was presented on the images of CT, MR and PET. Powell's direction set method and Brent's one-dimensional optimization algorithm were used as optimization strategy. A multi-resolution approach is applied to speedup the matching process. For PET images, pre-procession of segmentation was performed to reduce the background artefacts. According to the evaluation by the Vanderbilt University, Sub-voxel accuracy in multi-modality registration had been achieved with this algorithm.
