Difference between revisions of "DTI-TK"
Jump to navigation
Jump to search
Moskalenko (talk | contribs) m (Text replacement - "#uppercase" to "uc") |
|||
| Line 33: | Line 33: | ||
--> | --> | ||
==System Variables== | ==System Variables== | ||
| − | * HPC_{{ | + | * HPC_{{uc:{{#var:app}}}}_DIR |
<!--Configuration--> | <!--Configuration--> | ||
{{#if: {{#var: conf}}|==Configuration== | {{#if: {{#var: conf}}|==Configuration== | ||
Revision as of 21:20, 6 December 2019
Description
DTI-TK is a spatial normalization & atlas construction toolkit, designed from ground up to support the manipulation of diffusion-tensor images (DTI) with special cares taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings.
Required Modules
Serial
- dtitk
System Variables
- HPC_DTITK_DIR
Validation
- Validated 4/5/2018