• 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