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Development And Characterization Of Methodology And Technology For The Alignment Of Fmri Time Series, Carlo Ciulla
Development And Characterization Of Methodology And Technology For The Alignment Of Fmri Time Series, Carlo Ciulla
Dissertations
This dissertation has developed, implemented and tested a novel computer based system (AUTOALIGN) that incorporates an algorithm for the alignment of functional Magnetic Resonance Image (fMRI) time series. The algorithm assumes the human brain to be a rigid body and computes a head coordinate system on the basis of three reference points that lie on the directions correspondent to two of the eigenvectors of inertia of the volume, at the intersections with the head boundary. The eigenvectors are found weighting the inertia components with the voxel's intensity values assumed as mass. The three reference points are found in the same …