Time efficient and robust 3-D brain image centering and realignment using hybrid genetic algorithm

Author

Cadieux, Sebastien ; Tanizaki, Naoaki ; Okamura, Tetsuya

Author_Institution

Res. & Dev. Center, Sumitomo Heavy Ind. Ltd., Kanagawa, Japan

fYear

1997

fDate

29-31 Jul 1997

Firstpage

1279

Lastpage

1284

Abstract

Describes a time efficient and robust method to center and realign three dimensional brain images obtained by positron emission tomography (PET). This is primordial for most clinical applications. The method is not affected by brain image defects. This robustness is accomplished using a stochastic sign change criterion as an optimization index. This method takes also 75% less (less than 5 minutes) time than the similar method by Minoshima et al. (1992). The calculation time reduction is achieved by combination of the use of a hybrid genetic algorithm for optimization and an “addition-only” rotation transformation

Keywords

brain; genetic algorithms; medical image processing; positron emission tomography; 3D brain images; addition-only rotation transformation; calculation time reduction; hybrid genetic algorithm; image centering; image realignment; optimization index; positron emission tomography; robustness; stochastic sign change criterion; Application software; Biomedical imaging; Brain; Genetic algorithms; Head; Image analysis; Lesions; Positron emission tomography; Robustness; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE '97. Proceedings of the 36th SICE Annual Conference. International Session Papers

Conference_Location

Tokushima

Type

conf

DOI

10.1109/SICE.1997.625011

Filename

625011