Chapter 14: A Comparative Study of ICA Based Approaches for Separation of Components in Functional MRI Sequences

Author

Rad, Gholamali Rezai ; Larijani, Houtan Haddad

Author_Institution

Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran

fYear

2008

fDate

9-11 July 2008

Firstpage

87

Lastpage

91

Abstract

This paper prepares a review of ICA based approaches that are used for separation of components in functional MRI sequences. In previous works, the FastICA and the Infomax algorithms are investigated in more details; therefore, in this paper we focus on methods such as "radical ICA", "SDD ICA", "Erica" and "Evd" for separation purposes. This comparative study provides reliable framework for brain researchers to choose appropriate ICA based method for their special investigation purposes.

Keywords

biomedical MRI; independent component analysis; medical image processing; Erica method; Evd method; SDD ICA; brain researchers; functional MRI sequences; radical independent component analysis; Blind source separation; Brain mapping; Independent component analysis; Magnetic analysis; Magnetic resonance imaging; Neuroscience; Random variables; Signal processing algorithms; Solid modeling; Vectors; Blind Source Separation; Independent Component Analysis; functional MRI;

fLanguage

English

Publisher

ieee

Conference_Titel

Geometric Modeling and Imaging, 2008. GMAI 2008. 3rd International Conference on

Conference_Location

London

Print_ISBN

978-0-7695-3270-7

Type

conf

DOI

10.1109/GMAI.2008.9

Filename

4568611