DocumentCode
2725918
Title
Detection of Neural Activities in FMRI Using Jensen-Shannon Divergence
Author
Basak, Jayanta
Author_Institution
IBM India Res. Lab., New Delhi
fYear
2009
fDate
4-6 Feb. 2009
Firstpage
39
Lastpage
42
Abstract
In this paper, we present a statistical technique based on Jensen-Shanon divergence for detecting the regions of activity in fMRI images. The method is model free and we exploit the metric property of the square root of Jensen-Shannon divergence to accumulate the variations between successive time frames of fMRI images. Experimentally we show the effectiveness of our algorithm.
Keywords
biomedical MRI; medical image processing; Jensen-Shannon divergence; fMRI images; neural activities; Head; Image sequences; Independent component analysis; Pattern recognition; Probability distribution; Q measurement; Random variables; Robustness; Signal processing algorithms; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Pattern Recognition, 2009. ICAPR '09. Seventh International Conference on
Conference_Location
Kolkata
Print_ISBN
978-1-4244-3335-3
Type
conf
DOI
10.1109/ICAPR.2009.61
Filename
4782737
Link To Document