A hybrid genetic algorithm for medical image registration with Downhill Simplex method

Author

Zhang, XiuJie ; Shen, Yi ; Li, Shiyong

Author_Institution

Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China

fYear

2009

fDate

20-21 Sept. 2009

Firstpage

291

Lastpage

294

Abstract

An hybrid genetic algorithm was proposed to perform the optimal parameters for image registration. The genetic algorithm (GA) was combined with the Downhill Simplex search, and the GA algorithm considered the adaptive probabilities of mutation which change with the fitness distance correlation (FDC), mutual information (MI) was used as metric in this paper. The results using the hybrid genetic algorithm are compared with those using the simple genetic algorithm, experimental results show that the proposed algorithm is robust and accuracy.

Keywords

adaptive estimation; biomedical MRI; brain; genetic algorithms; image registration; medical image processing; optimisation; probability; Downhill Simplex method; MRI images; adaptive probability; fitness distance correlation; human head; hybrid genetic algorithm; medical image registration; mutation; mutual information; optimal parameters; Biomedical imaging; Convergence; Genetic algorithms; Genetic mutations; Heuristic algorithms; Histograms; Image fusion; Image registration; Medical diagnostic imaging; Mutual information; Image registration; genetic algorithm; mutual information;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Computing and Telecommunication, 2009. YC-ICT '09. IEEE Youth Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5074-9

Electronic_ISBN

978-1-4244-5076-3

Type

conf

DOI

10.1109/YCICT.2009.5382367

Filename

5382367