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fMRI and MRI Image Registration and Statistical Mapping. Edition No. 1

VDM Publishing House, Oct 2008, Pages: 68


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Registration is required to integrate the
information gained from different image modalities
acquired from the same patient to obtain a
comprehensive interpretation. In fMRI, the acquired
brain volume data is often distorted by head motion.
As a result, accurate information regarding task-
induced (or resting-state) signal changes cannot be
extracted. So, registration is essential among fMRI
volumes (intra modal registration) to correct for
such motion. Moreover, to detect the active voxels
of the brain due to a particular task, multimodal
registration between fMRI and MRI is required. This
thesis work is divided into two parts: 1) The first
part presents the application of an automatic mutual
information based image registration technique to
correct for the motion in head brain volumes
acquired by fMRI, and also to register those volumes
to brain volumes acquired by MRI. 2) The second part
presents the application of statistical mapping
based on the General Linear Model (GLM) to detect
functional activities in the brain due to task
related stimulation. Finally three sets of fMRI data
have been analyzed and the results are presented.



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