ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:WP-L2.2
Session:Magnetic Resonance Imaging
Time:Wednesday, October 11, 14:40 - 15:00
Presentation: Lecture
Topic: Biomedical Imaging: Magnetic resonance imaging
Title: ROTATIONAL INVARIANCE IN ADAPTIVE FMRI DATA ANALYSIS
Authors: Joakim Rydell; Linköping University 
 Hans Knutsson; Linköping University 
 Magnus Borga; Linköping University 
Abstract: It has previously been shown that canonical correlation analysis (CCA) works well for detecting neural activity in fMRI data. This is due to the ability of CCA to perform simultaneous temporal modeling and adaptive spatial filtering of the data. In this paper, we demonstrate that our previously proposed method for CCA-based fMRI data analysis does not provide rotationally invariant detection of activated regions. We propose a modification of the previous method and show that it resolves the rotational invariance issue, thereby further improving the analysis method.