Tolerably Obsessive Registration and Tensor Optimization Indolent Software Ensemble
The current release is TORTOISE V2.0.1, available on the download page
Click here for version update information.
To get started with TORTOISE: Quick Start Guide
*See note at bottom of the page |
First TORTOISE Hands-on Course
December 2nd, 2013
NIH- Bethesda campus
Kindly Hosted by the AFNI Bootcamp
TORTOISE Course Details
8:30 am - 8:35 am Welcome Address
8:35 am - 9:15 am General Considerations on the Diffusion Processing Pipeline
- The advantages of a good processing Pipeline
- Concept of Artifacts and Artifacts Remediation
Speaker: Carlo Pierpaoli
9:15 am - 9:30 am Diffusion Tensor Imaging (DTI) Acquisition tips and tricks
Speaker: Joelle Sarlls
9:30 am - 9:40 am Break
9:40 am - 10:40 am Overview of DIFFPREP
Speaker: M. Okan Irfanoglu
10:40 am - 11:40 am Overview of DIFFCALC
Speaker: Carlo Pierpaoli
11:40 am - 12:00 pm The latest and the greatest in TORTOISE
Speaker: Okan Irfanoglu
12:00 pm - 12:30 pm Q & A
For more details please visit : http://afni.nimh.nih.gov/bootcamp/
The dataset to be used in the bootcamp can be found at: http://afni.nimh.nih.gov/pub/dist/tgz/AFNI_bootcamp_TORTOISE_tutorial_data.tar.gz
Why TORTOISE? Our software is not for rabbit type people; if you need to process diffusion data at the scanner console you do not want to use our software.
Why obsessive? We have realized that DTI is a wonderful quantitative technique which is unfortunately susceptible to all sorts of artifacts and confounds. We spent a lot of time trying to obtain reliable DTI measurements, which has made ourselves and our software a little obsessive. Why indolent? Our emphasis has been on developing conceptually rigorous routines more than optimizing the speed and user-friendliness of the software.
TORTOISE was presented at the ISMRM meeting in Stockholm, Sweden in 2010. Please reference the following abstract if you use TORTOISE in your work.
C. Pierpaoli, L. Walker, M. O. Irfanoglu, A. Barnett, P. Basser, L-C. Chang, C. Koay, S. Pajevic, G. Rohde, J. Sarlls, and M. Wu, 2010, TORTOISE: an integrated software package for processing of diffusion MRI data, ISMRM 18th annual meeting, Stockholm, Sweden, #1597 (pdf)
The TORTOISE software package is for processing diffusion MRI data, and it contains three main modules, DIFF_PREP and DIFF_CALC.
- DIFF_PREP - software for image resampling, motion, eddy current distortion and susceptibility induced EPI distortion corrections, and for re-orientation of data to a common space
- DIFF_CALC - software for tensor fitting, error analysis, color map visualization and ROI analysis
- bup_bdown_TORTOISE- software for susceptibility induced EPI distortion correction using pair diffusion data acquired with opposite phase encoding direction.
In addition, TORTOISE contains additional Utilities, such as a tool for the analysis of multi-center phantom data.
Some common questions and answers about our software packages are listed in the FAQ.
If you are interested in contributing to these wiki pages, please contact us in order to create an account for you.
*This picture is adapted from an image we downloaded from the web. We would like to give credit to the original author(s) who we have been unable to identify. Please contact us at tortoisedti@gmail.com if you know the origins of this picture.
For internal NIH collaborators only
