All posts in category MRI

Parallelizing Freesurfer

Today I started running VBM and Freesurfer comparisons on a “new” dataset that everyone in our lab is particularly interested in moving forward.  The VBM was all carried out in SPM8 with the VBM8 toolbox. I particularly like the VBM8 toolbox because it makes use of the SPM8 DARTEL transformations, and it’s relatively easy to queue up […]

Visualizing Single Subject DTI Data (FSL)

A few posts ago, I described how to do some basic analyses of Diffusion data.  I realize now that I left off the visually cool factor of displaying individual subject data.  Once you complete the eddy_correct and dtifit steps in the previous post, several files will be generated for FA (fractional anisotropy), MD (mean diffusivity), […]

Single Subject Analysis in AFNI

AFNI has three major avenues to running a single subject analysis.  1) You can use uber_subject.py to configure the analysis in a Graphical User Interface (GUI); 2) You can use afni_proc.py to specify the analysis using the command line; 3) You can write your own command line commands in your own script, which calls each […]

Basics of DTI Analysis (FSL)

FSL has a complete pipeline for converting Diffusion Weighted Images (DWI) to Diffusion Tensor Images (DTI) using one of two pipelines: 1) “Tract-Based Spatial Statistics” or 2) Probabilistic Tractography (via Bedpostx and probtrackx).  The graphic below shows a rough overview of each.   The analysis with FSL is fairly straight forward.  If you wish, you can […]

Quality Checking fMRI

You can never be too careful in terms of data quality.  AFNI offers a number of checks on the data via the automated @ss_review_basic and @ss_review_driver generated by afni_proc.py.  But occasionally you need more information!  And also if you’re comparing data across multiple scanners, it’s not a bad idea to have some of these numbers […]