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[Human cerebral image registration using generalized mutual information].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2008 Dec; 25(6):1303-6.SW

Abstract

Medical image registration is a highlight of actual research on medical image processing. Based onsimilarity measure of Shannon entropy, a new generalized distance measurement based on Rényi entropy applied to image rigid registration is introduced and is called here generalized mutual information (GMI). It is used in three dimensional cerebral image registration experiments. The simulation results show that generalized distance measurement and Shannon entropy measurement apply to different areas; that the registration measure based o n generalized distance is a natural extension of mutual information of Shannon entropy. The results prove that generalized mutual information uses less time than simple mutual information does, and the new similarity measure manifests higher degree of consistency between the two cerebral registration images. Also, the registration results provide the clinical diagnoses with more important references. In conclusion, generalized mutual information has satisfied the demands of clinical application to a wide extent.

Authors+Show Affiliations

Zhang J
School of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China.
Li T
No affiliation info available
Zhang J
No affiliation info available

MeSH

AlgorithmsBrainDiagnostic ImagingEntropyHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingPattern Recognition, Automated

Pub Type(s)

English Abstract
Journal Article

Language

chi

PubMed ID

19166197

Citation

Zhang, Jingzhou, et al. "[Human Cerebral Image Registration Using Generalized Mutual Information]." Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, vol. 25, no. 6, 2008, pp. 1303-6.
Zhang J, Li T, Zhang J. [Human cerebral image registration using generalized mutual information]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2008;25(6):1303-6.
Zhang, J., Li, T., & Zhang, J. (2008). [Human cerebral image registration using generalized mutual information]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, 25(6), 1303-6.
Zhang J, Li T, Zhang J. [Human Cerebral Image Registration Using Generalized Mutual Information]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2008;25(6):1303-6. PubMed PMID: 19166197.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Human cerebral image registration using generalized mutual information]. AU - Zhang,Jingzhou, AU - Li,Ting, AU - Zhang,Jia, PY - 2009/1/27/entrez PY - 2009/1/27/pubmed PY - 2010/1/29/medline SP - 1303 EP - 6 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 - 25 IS - 6 N2 - Medical image registration is a highlight of actual research on medical image processing. Based onsimilarity measure of Shannon entropy, a new generalized distance measurement based on Rényi entropy applied to image rigid registration is introduced and is called here generalized mutual information (GMI). It is used in three dimensional cerebral image registration experiments. The simulation results show that generalized distance measurement and Shannon entropy measurement apply to different areas; that the registration measure based o n generalized distance is a natural extension of mutual information of Shannon entropy. The results prove that generalized mutual information uses less time than simple mutual information does, and the new similarity measure manifests higher degree of consistency between the two cerebral registration images. Also, the registration results provide the clinical diagnoses with more important references. In conclusion, generalized mutual information has satisfied the demands of clinical application to a wide extent. SN - 1001-5515 UR - https://www.unboundmedicine.com/medline/citation/19166197/[Human_cerebral_image_registration_using_generalized_mutual_information]_ L2 - https://medlineplus.gov/mriscans.html DB - PRIME DP - Unbound Medicine ER -