DocumentCode
2989655
Title
The Study about Optimizing fMRI Data with Modified GA
Author
Jianming Cui ; Xiaoming Guo
Author_Institution
Center of Modern Educ. & Technol., Guilin Univ. of Technol., Guilin, China
fYear
2012
fDate
7-9 Dec. 2012
Firstpage
141
Lastpage
144
Abstract
The technology fMRI is popular and feasible in researching human brain function, but the processing data produced by fMRI is tough. Presently, there are some kinds of methods for processing data, but they have its advantages and disadvantages, and some have slow convergence rate and bad stability. According to fMRI data´s characteristics, we plan to use GA which has been done some modification. Though computing and testing, the new method has remedy other algorithms´ shortage, and it will enhance the processing data efficiency and effectiveness.
Keywords
biomedical MRI; brain; convergence; genetic algorithms; medical image processing; neurophysiology; convergence rate; data processing; fMRI data characteristics; fMRI data optimization; fMRI technology; genetic algorithm; human brain function; Algorithm design and analysis; Approximation algorithms; Convergence; Educational institutions; Entropy; Equations; Vectors; GA; fMRI;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location
Liaoning
Print_ISBN
978-1-4673-4499-9
Type
conf
DOI
10.1109/ICCECT.2012.65
Filename
6414134
Link To Document