An Iterative ICA Method for Separating fMRI Acoustic Noise Components

Author

Huang, Wanjun ; Panahi, Issa ; Briggs, Richard

Author_Institution

Univ. of Texas at Dallas, Richardson

fYear

2007

fDate

11-12 Nov. 2007

Firstpage

1

Lastpage

4

Abstract

A new iterative algorithm for separating mixtures of multi-channel signals is proposed. This algorithm extends the instantaneous independent component analysis algorithm to multi-channel blind source separation algorithm. Separation is processed by decomposing convolutive mixtures to instantaneous mixtures. Simulation results for real fMRI (functional magnetic resonance imaging) scanner noise show that the proposed algorithm is very effective in blind source separation.

Keywords

acoustic noise; biomedical MRI; blind source separation; deconvolution; independent component analysis; iterative methods; medical signal processing; fMRI acoustic noise; functional magnetic resonance imaging; independent component analysis; iterative ICA method; multichannel blind source separation algorithm; multichannel signal separation; Acoustic noise; Blind source separation; Deconvolution; Filters; Independent component analysis; Iterative algorithms; Iterative methods; Signal processing; Signal processing algorithms; Source separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Workshop, 2007 IEEE Dallas

Conference_Location

Dallas, TX

Print_ISBN

978-1-4244-1626-4

Type

conf

DOI

10.1109/EMBSW.2007.4454158

Filename

4454158