Independent Component Analysis for Magnetic Resonance Image Analysis

Independent component analysis (ICA) has recently received considerable interest in applications of magnetic resonance (MR) image analysis. However, unlike its applications to functional magnetic resonance imaging (fMRI) where the number of data samples is greater than the number of...

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Autores principales: San-Kan Lee, Ching-Wen Yang, Sek-Kwong Poon, Clayton Chi-Chang Chen, Cheng-Chieh Chen, Jyh-Wen Chai, Hsian-Min Chen, Yen-Chieh Ouyang
Formato: Artigo
Lenguaje:Inglês
Publicado: SpringerOpen 2008-03-01
Colección:EURASIP Journal on Advances in Signal Processing
Acceso en línea:http://dx.doi.org/10.1155/2008/780656
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