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Please bear with us while we update the tutorial data set for the new version of TRACULA. The new tutorial goes beyond what was possible with the tutorial data set that was previously available for download. For now, please ignore any references to the tutorial data and try to follow along using your own data. Thank you for your patience.


For each new terminal that you open, you must do:

export SUBJECTS_DIR=$TUTORIAL_DATA/diffusion_tutorial/fs
cd $TUTORIAL_DATA/diffusion_tutorial

If you are at an organized course

Running the commands described below will take more time than you have for this tutorial, so please DO NOT RUN these commands right now. All the data has already been processed for you!

If you are not at an organized course

If you are NOT taking one of the formally organized courses, then to follow this exercise exactly be sure you've downloaded the tutorial data set before you begin. If you choose not to download the data set you can follow these instructions on your own data, but you will have to substitute your own specific paths and subject names. These are the commands that you need to run before getting started:

## bash
export FREESURFER_HOME=/path/to/freesurfer
export TUTORIAL_DATA=<path_to_your_tutorial_data>
export SUBJECTS_DIR=$TUTORIAL_DATA/diffusion_tutorial/fs

## tcsh
setenv FREESURFER_HOME /path/to/freesurfer
source $FREESURFER_HOME/SetUpFreeSurfer.csh
setenv TUTORIAL_DATA <path_to_your_tutorial_data>
setenv SUBJECTS_DIR $TUTORIAL_DATA/diffusion_tutorial/fs

If you are not using the tutorial data you should set your SUBJECTS_DIR to the directory in which the recon(s) of the subject(s) you will use for this tutorial are located.

IMPORTANT: Please make sure that you have the latest version of FreeSurfer installed, including the latest TRACULA updates, before running this tutorial.

There are three steps involved in processing individual subjects with TRACULA:

The three steps must be run in this order, using the command trac-all.


Some pre-processing of the diffusion image data is needed before white-matter pathways can be reconstructed by TRACULA. This pre-processing includes:

All of the above pre-processing steps can be run by passing the -prep command-line option to trac-all as follows:

Do not run these commands if you're at an organized course.

It will take a while and has already been done for you.

trac-all -prep -c $TUTORIAL_DATA/diffusion_tutorial/dmrirc.tutorial

The argument of the -c command-line option is the configuration file, where preferences for these pre-processing steps can be specified.

Ball-and-stick model fit

TRACULA uses the ball-and-stick model of diffusion to reconstruct the pathways from the DWI data. FSL's bedpostX fits the ball-and-stick model to the DWI data, estimating probability distributions of the parameters of this model at every voxel. bedpostx should only be run on a computer with high computational power, for more information on bedpostx click here. This command will run bedpostX on the pre-processed data of all the subjects specified in the configuration file:

trac-all -bedp -c $TUTORIAL_DATA/diffusion_tutorial/dmrirc.tutorial

Reconstructing white-matter pathways

The final step is to generate the probability distributions for all 42 white-matter pathways or for the subset of pathways that you specified in the configuration file. This is done by simultaneously fitting the shape of each pathway to the results of the ball-and-stick model of diffusion from above and to the prior knowledge of the pathway anatomy obtained from the manually annotated set of training subjects that comprise the TRACULA atlas. The following command will generate the probability distributions of the pathways:

trac-all -path -c $TUTORIAL_DATA/diffusion_tutorial/dmrirc.tutorial

Check for output files

There are many output files from each step, and the trac-all page has a complete list. You do not need to know what all of them are. In the following sections of the tutorial, we will inspect some the key outputs closely.

Now let's look at the results! Click on Next below.


By the end of this page, you should know how to:

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FsTutorial/RunningTracula (last edited 2021-06-18 08:46:46 by AnastasiaYendiki)