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
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;
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
DOI :
10.1109/ICCECT.2012.65
