Title :
Model-free Region Of Interest Based Analysis of fMRI Data
Author :
Keck, I.R. ; Theis, F.J. ; Gruber, P. ; Lang, E.W. ; Churan, J. ; Puntonet, C.G.
Author_Institution :
Inst. of Biophys., Regensburg Univ.
Abstract :
Blind source separation is being established as a new kind of analysis method in the field of fMRI data analysis. Its model-free approach renders it an important tool for investigation. In this article we present a method based on BSS/ICA to create a region of interest (ROI) mask for a BSS based fMRI data analysis. This eliminates a commonly necessary model-based step in fMRI data analysis. We demonstrate our approach on a real world fMRI data set example
Keywords :
biomedical MRI; blind source separation; independent component analysis; BSS-ICA; blind source separation; fMRI data analysis; functional magnetic resonance imaging; independent component analysis; model-free region of interest mask; Biophysics; Blind source separation; Clustering algorithms; Data analysis; Humans; Independent component analysis; Magnetic analysis; Magnetic resonance imaging; Source separation; Vectors;
Conference_Titel :
Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean
Conference_Location :
Malaga
Print_ISBN :
1-4244-0087-2
DOI :
10.1109/MELCON.2006.1653142
