How to Analyze Diffusion Tensor Imaging Data (Review)

After my first year of blogging, I ran a “One Year Review” piece that covered all of the articles that I wrote in that first year.  And that article tends to get hit by search engines fairly often since it was published on December 3, 2013.  Sure, I meant to go back and do a […]

Getting started with Machine Learning

So we have to face it, Machine Learning is the buzzword of the year (multiple years?).  But where does one start learning?  Well assuming you’ve taking some stats classes in the past and words like regression don’t scare you off, you may be able to jump right in to some of the applicable textbooks out […]

Example use of DTIprep for DWI Quality Checking

In a previous post, we covered using DTIprep for preprocessing of diffusion weighted imaging (DWI) data.  I’ve written a quick script (below) to automate DTIprep for the purposes of running the default QC check.  My workflow has DICOM data automatically downloaded from our PACS server, then automatically converted to NIFTI format, and then organized in the […]

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 […]