The software is free, but we request that users register to download the software in order to help us track its usage.
Install the software by putting the ArtRepair software into the SPM Toolbox folder. ArtRepair is compatible with SPM12, SPM8, SPM5, and SPM2. Select ArtRepair within the SPM toolbox menu to start it. See ArtRepairInstallation.html for full details on installing the software.
This version of ArtRepair is NOT COMPATIBLE with 4d Nifti files.
Batch Script: A Matlab script for batch preprocessing of SPM and ArtRepair functions is available, along with quality control documentation. Send a request by email to mazaika AT stanford.edu. Please note that the script is not in the spm_jobman format, and it requires that the user be familiar with Matlab to use it.
Requirements: These programs assume that MATLAB and SPM are installed. The ArtRepair programs use the SPM read/write capabilities, and thus use AnalyzeFormat images with SPM2 and Nifti images with SPM5 and SPM8. The programs have been tested in Matlab Versions 6.5 - 7.7 on RedHat Linux and Windows XP. More recently, the programs are run at our lab using Matlab R2013 and Mac OSX 10.8. The code is written to maximize compatibility by using only basic Matlab functions.
Disclaimer: This software is made available to promote better understanding and quality review of fMRI data. This software is supplied as is. No formal quality assurance checks were made on the software, and no formal support or maintenance is provided or implied.
This software was written by Paul Mazaika, at the Center for Interdisciplinary Brain Science Research at Stanford. It is derived from software developed by Susan Whitfield-Gabrieli, Paul Mazaika, and Jeffrey C. Cooper in the Gabrieli Cognitive NeuroSciences Lab. Please send any bug reports, questions, or Email Us
The best citations for this software are:
Methods and Software for fMRI Analysis for Clinical Subjects, by Paul Mazaika, Fumiko Hoeft, Gary H. Glover, and Allan L. Reiss, Human Brain Mapping, 2009.
Artifact Repair for fMRI Data from High Motion Clinical Subjects, by Paul Mazaika, Susan Whitfield-Gabrieli, and Allan Reiss, presentation at Human Brain Mapping conference, 2007.
Detection and Repair of Transient Artifacts in fMRI Data, by Paul Mazaika, Susan Whitfield, and Jeffrey C. Cooper, Human Brain Mapping conference, 2005.