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[Method of multi-resolution 3D image registration by mutual information].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2002 Dec; 19(4):599-601, 610.SW

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.

Authors+Show Affiliations

Ren H
Department of Nuclear Medicine, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021.
Wu W
No affiliation info available
Yang H
No affiliation info available
Chen S
No affiliation info available

MeSH

AlgorithmsBrainHumansImage Processing, Computer-AssistedImaging, Three-Dimensional

Pub Type(s)

English Abstract
Journal Article
Research Support, Non-U.S. Gov't

Language

chi

PubMed ID

12561358

Citation

Ren, Haiping, et al. "[Method of Multi-resolution 3D Image Registration By Mutual Information]." Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, vol. 19, no. 4, 2002, pp. 599-601, 610.
Ren H, Wu W, Yang H, et al. [Method of multi-resolution 3D image registration by mutual information]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2002;19(4):599-601, 610.
Ren, H., Wu, W., Yang, H., & Chen, S. (2002). [Method of multi-resolution 3D image registration by mutual information]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, 19(4), 599-601, 610.
Ren H, et al. [Method of Multi-resolution 3D Image Registration By Mutual Information]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2002;19(4):599-601, 610. PubMed PMID: 12561358.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Method of multi-resolution 3D image registration by mutual information]. AU - Ren,Haiping, AU - Wu,Wenkai, AU - Yang,Hu, AU - Chen,Shengzu, PY - 2003/2/4/pubmed PY - 2003/6/19/medline PY - 2003/2/4/entrez SP - 599-601, 610 JF - Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi JO - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi VL - 19 IS - 4 N2 - 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. SN - 1001-5515 UR - https://www.unboundmedicine.com/medline/citation/12561358/[Method_of_multi_resolution_3D_image_registration_by_mutual_information]_ DB - PRIME DP - Unbound Medicine ER -