DocumentCode
1621181
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
fYear
2006
Firstpage
3467
Lastpage
3470
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IEMBS.2005.1617225
Filename
1617225
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