title: [Multi-resolution registration of MR and PET images based on correlation ratio similarity].
abstract: An effective MR and PET image registration method designed for clinical use is given in this paper. A new correlation ratio similarity measure for voxel intensity based medical image registration was adopted. Detailed discussion on methods of rigid transformation, resampling, multi-resolution medical image representation and optimization for accelerated multi-resolution registration scheme is also given in this paper. At last, experimental results based on clinical MR and PET medical images show that correlation ratio based multi-resolution registration method works well and is faster than most existing direct voxel intensity based registration methods under clinical scenario.
authors.affiliation: Deptartment of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200030. bjqin@sjtu.edu.cn
authors.forename: Binjie
authors.initials: B
authors.lastname: Qin
authors.forename: Tiange
authors.initials: T
authors.lastname: Zhuang
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D015233:Models, Statistical; D015899:Tomography, Emission-Computed, Single-Photon