title: An Adaptive-Tabu GA for Registration of CT and Surface Laser Scan.
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.
authors.affiliation: Department of Electrical Engineering, Chang-Gung University, Tao-Yuan, Taiwan, (e-mail: jdlee@mail.cgu.edu.tw).
authors.forename: Jiann-Der
authors.initials: JD
authors.lastname: Lee
authors.forename: Jau-Hua
authors.initials: JH
authors.lastname: Huang
authors.forename: Chung-Hsien
authors.initials: CH
authors.lastname: Huang
authors.forename: Li-Chang
authors.initials: LC
authors.lastname: Liu