Difference between revisions of "DTI-TK"
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Moskalenko (talk | contribs) (Created page with "Category:SoftwareCategory:BioinformaticsCategory:Neurology {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|dtitk}} |{{#vardefine:url|http://www.nitrc.org/projec...") |
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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. | 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. | ||
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| − | + | Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application. | |
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==System Variables== | ==System Variables== | ||
| − | * HPC_{{ | + | * HPC_{{uc:{{#var:app}}}}_DIR - installation directory |
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{{#if: {{#var: conf}}|==Configuration== | {{#if: {{#var: conf}}|==Configuration== | ||
Latest revision as of 18:51, 12 August 2022
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.
Environment Modules
Run module spider dtitk to find out what environment modules are available for this application.
System Variables
- HPC_DTITK_DIR - installation directory