Medical Image Registration Using a Real Coded Genetic Algorithm ⋆

نویسندگان

  • Xiujie ZHANG
  • Yi SHEN
  • Shiyong LI
  • Ying JI
چکیده

In this paper, a real-coded genetic algorithm called DMLX-NUM is proposed to solve the problem of parameter optimization in medical image registration. It derived from LX-NUM algorithm. The composition of the algorithm is simple, and the method has no special requirements for generating the initial population. By this algorithm the ratio of registration success can be at 98%. The algorithm we are going to present in this paper is compared with other methods. Simulation indicated that the proposed algorithm displays excellent accuracy and robustness in MRI image registration.

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تاریخ انتشار 2012