DocumentCode :
3133922
Title :
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
Link To Document :
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