Tolerably Obsessive Registration and Tensor Optimization Indolent Software Ensemble
The Fifth TORTOISE Course will be on February 13th, 2017
Everything below pertains to older versions of TORTOISE.
The Fourth TORTOISE Course was on February 22nd, 2016
Click here for version update information.
To get started with TORTOISE: Quick Start Guide
Please register to the TORTOISE DTI Google Group for questions and help.
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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.
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 - software for image resampling, motion, eddy current distortion, and EPI distortion correction using a structural image as target, and for re-orientation of data to a common space
- DIFF_CALC - software for tensor fitting, error analysis, directionally encoded color map visualization and ROI analysis
- DR-BUDDI- software for EPI distortion correction using pairs of diffusion data sets acquired with opposite phase encoding (blip-up blip-down acquisitions).
Some common questions and answers about our software packages are listed in the FAQ.
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