Title
Comparison of nonlinear methods of motion correction in fMRI data
Abstract
The paper considers the problem of motion correction in fMRI data by different methods existing in standard packages: SPM, AFNI, BROCCOLI. Method of rigid body correction is too poor for using in real world cases, because of registration of a single 3D fMRI snapshot is not instantaneous, but sequentially by slices. Comparison of methods in the case controlled artificially of nonlinear and partial shifts and rotations of slices of fMRI records and made recommendations of using methods for different cases is a goal of this paper.
Year
DOI
Venue
2018
10.1016/j.procs.2018.11.038
Procedia Computer Science
Keywords
DocType
Volume
motion correction,fMRI,data preprocessing
Conference
145
ISSN
Citations 
PageRank 
1877-0509
0
0.34
References 
Authors
4
7