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An Adaptive-Tabu GA for Registration of CT and Surface Laser Scan
Jiann-Der Lee1, Jau-Hua Huang, Chung-Hsien Huang
1Department of Electrical Engineering, Chang-Gung University, Tao-Yuan, Taiwan, (e-mail: jdlee@mail.cgu.edu.tw).
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.
