Registration of CT image and facial surface data using adaptive genetic algorithm

In this paper, we propose a novel registration method based on adaptive genetic algorithm (adaptive-GA) to accomplish the registration task of computer tomography (CT) and the corresponding facial surface data. First, chain code method is utilized to represent the facial curve such that facial surface data obtained by a face scanner is efficiently reduced. Next, based the concept of the genetic algorithm in continuous space (GACS), we improve its evolutional mechanisms of chromosomes´ crossover and mutation to speed up the convergent process of GA. From the experimental results, it is proved that the proposed registration method can be used for nonfiducials stereotactic brain surgeries and help surgeons to diagnose and treat brain disease correctly and conveniently.