Title :
An Adaptive-Tabu GA for Registration of CT and Surface Laser Scan
Author :
Lee, Jiann-Der ; Huang, Jau-Hua ; Huang, Chung-Hsien ; Liu, Li-Chang
Author_Institution :
Dept. of Electr. Eng., Chang-Gung Univ., Taoyuan
Abstract :
An adaptive-tabu GA (genetic algorithm) method is proposed to improve some traditional GA methods in the registration of computer tomography (CT) and surface laser scan. In this method, the adaptive memory structure and search strategy of Tabu search (TS) with the modified chromosome crossover and adaptive mutation are proposed to increase the convergence speed and accuracy of the fitness function. This registration method can be used on non-fiducial stereo-tactic brain surgeries to assist surgeons to diagnose and treat brain diseases
Keywords :
brain; computerised tomography; genetic algorithms; image registration; adaptive-tabu GA; chromosome crossover; computer tomography; genetic algorithm; registration; surface laser scan; Biological cells; Biomedical imaging; Computed tomography; Flowcharts; Genetic algorithms; Genetic mutations; Image fusion; Surface emitting lasers; Surgery; Surges;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617225