title: A novel magnetic resonance-positive emission image registration based on morphology.
abstract: Structures were obtained from images with morphological characteristics to register with voxel-based method. We applied simple morphological operations to obtain human brain cortex and chose normalized mutual information as similarity measure for the geometric alignment of PET and MR images. Evaluation used nine patients, and the results showed that sub-voxel accuracy was achieved and the registration process was significantly more rapid. Thus this new automated multi-modality registration method is more robust and has high accuracy.
authors.affiliation: Department of Nuclear Medicine, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
authors.forename: Hai-Ping
authors.initials: HP
authors.lastname: Ren
authors.forename: Hu
authors.initials: H
authors.lastname: Yang
authors.forename: Bing-Rong
authors.initials: BR
authors.lastname: Ma
authors.forename: Sheng-Zu
authors.initials: SZ
authors.lastname: Chen
authors.forename: Wen-Kai
authors.initials: WK
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D002540:Cerebral Cortex / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014055:Tomography, Emission-Computed / Q000379:methods*