All posts in category DTI

DTIprep for Preprocessing of DWI Data

As I’ve mentioned before, it’s a good idea to do some preprocessing on your diffusion imaging data!  Previous tutorials have covered using AFNI’s built-in tools (Part 1, Part 2, Part 3) as well as the very formidable TORTOISE (Part 1, Part 2, Part 3).  As with most things in NeuroImaging, you have many options when […]

Analyzing DTI Data in AFNI (Part 3)

So far in the DTI series we’ve covered how to process data entirely in AFNI (Part 1, Part 2).  We’ve also covered how to preprocess and fit tensors in the nicely packaged form of TORTOISE (Part 1, Part 2, Part 3).  Regardless of how you got to the point of having tensors fit, you can continue to […]

TORTOISE Processing of DWI/DTI (Part 3)

In Part 1, we covered how to preprocess your Diffusion Weighted Images (DWI) for “correction” of movement, eddy currents, and other artifacts in your data.  In Part 2, we covered fitting the tensors and exporting the resulting data to AFNI or other packages.  Today we continue by talking about an additional feature of TORTOISE, which […]

AFNI Bootcamp Training Next Week

There is an AFNI training workshop (aka “Bootcamp”) NEXT WEEK at Yale.  If you’re interested in signing up, the information is here.

R for MRI Lovers (Part 1)

Like many scientists, I learned SPSS a long long time ago.  It was free and installed on any computer at my undergraduate institution.  And like many people, I found the pull-down menus useful and sometimes endearing.  But when I went to grad school I was thrust into a world of using SAS.  Many a groans […]