title: [MR image registration based on an improved maximum mutual information].
abstract: Medical image registration is a key step of image processing and analysis and the first problem of medical image fusion to be solved. In this paper, we focus on magnetic resonance images registration for preoperative and postoperative of deep brain stimulation for the Parkinson's disease. First of all, mutual distance is brought into the mutual information in this paper, realize the two groups of MR slices (for both preoperative and postoperative) mapping, and then 3D images are reconstructed from the corresponding MR slices. Finally, we use Powell algorithm to register 3D images. After the 3D images is registered, we can analyze the relative position between planted electrode (postoperative) and the subthalamic nucleus (preoperative), and measure the quality of deep brain stimulation scientifically.
authors.affiliation: Department of Biomedical Engineering, Nanchang HangKong University, Nanchang 330063, China.
authors.forename: Ling
authors.initials: L
authors.lastname: Wang
authors.forename: Zhen
authors.initials: Z
authors.lastname: Chen
authors.forename: Shuigen
authors.initials: S
authors.lastname: Wei
authors.forename: Jing
authors.initials: J
authors.lastname: Huang
mesh_terms: D000465:Algorithms; D046690:Deep Brain Stimulation / Q000379:methods*; D004558:Electric Stimulation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010300:Parkinson Disease / Q000473:pathology / Q000628:therapy*; D020531:Subthalamic Nucleus / Q000473:pathology