Comparison of blind source separation algorithms for FMRI using a new Matlab toolbox: GIFT

Author

Correa, Nicolle ; Adali, Tülay ; Li, Yi-Ou ; Calhoun, Vince D.

Author_Institution

Dept. of Comput. Sci. & Electron. Eng., Maryland Univ., Baltimore, MD, USA

Volume

5

fYear

2005

fDate

18-23 March 2005

Abstract

We study the performance of five blind source separation (BSS) algorithms when applied to analysis of functional magnetic resonance imaging (fMRI) data. We introduce a Matlab-based toolbox, the group ICA of fMRI toolbox (GIFT), which enables analysis of groups of subjects using BSS algorithms, in particular those based on independent component analysis (ICA). We use the visualization and computational tools included in GIFT to quantitatively analyze the performance of different BSS algorithms for fMRI analysis and discuss the results.

Keywords

biomedical MRI; blind source separation; data visualisation; independent component analysis; mathematics computing; BSS; FMRI; GIFT; Matlab toolbox; blind source separation; computational tools; functional magnetic resonance imaging; group ICA of fMRI toolbox; independent component analysis; performance; visualization; Algorithm design and analysis; Blind source separation; Computer languages; Data visualization; Image analysis; Independent component analysis; Magnetic analysis; Magnetic resonance imaging; Performance analysis; Source separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1416325

Filename

1416325