Global optimization of mutual information: application to three-dimensional retrospective registration of magnetic resonance images.
A global optimization technique for image registration, based on mutual information, that can be used in conjunction with a multi-resolution paradigm is described. This technique combines genetic algorithm in continuous space, which is a stochastic method and is very efficient in large search space, with dividing rectangle, which is a deterministic method that theoretically guarantees global optimization and is efficient in small search space. Calculations were performed for determining the optimum parameters for implementing this method. This technique was applied to register magnetic resonance images of brain. For comparison, the registration results using AIR, a commonly employed software package, are presented.
He
Renjie
R
Department of Radiology, University of Texas at Houston Medical School, MSB 2.100, 6431 Fannin, Houston, TX 77030, USA.
Narayana
Ponnada A
PA
D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology; D006801:Humans; D008279:Magnetic Resonance Imaging; D010363:Pattern Recognition, Automated; D012189:Retrospective Studies; D013269:Stochastic Processes