Difference between revisions of "Modules:DiffusionTensorScalarMeasurements-Documentation-3.6"
Line 31: | Line 31: | ||
===Quick Tour of Features and Use=== | ===Quick Tour of Features and Use=== | ||
− | + | The module takes one DTI volume and computes a scalar volume. The parameters are the following: | |
− | + | * '''Input/Output:''' | |
− | * '''Input | + | ** ''Input DTI Volume'' is the input DTI volume, |
+ | ** ''Output Volume'' is the scalar volume with the resulting measurement | ||
* '''Parameters panel:''' | * '''Parameters panel:''' | ||
* '''Output panel:''' | * '''Output panel:''' |
Revision as of 19:04, 19 May 2010
Home < Modules:DiffusionTensorScalarMeasurements-Documentation-3.6Return to Slicer 3.6 Documentation
Module Name
MyModule
General Information
Module Type & Category
Type: CLI
Category: Diffusion Tensor
Authors, Collaborators & Contact
- Author1: Raúl San José Estépar, BWH
- Contact: [1]
Module Description
This module computes scalar measurements from Diffusion Tensor Image (DTI) Volumes. Those scalar measurements represent invariant properties of the tensor like anisotropy or apparent diffusion.
Usage
Examples, Use Cases & Tutorials
- Extract quantitative measurements of diffusivity from DTI volumes.
Quick Tour of Features and Use
The module takes one DTI volume and computes a scalar volume. The parameters are the following:
- Input/Output:
- Input DTI Volume is the input DTI volume,
- Output Volume is the scalar volume with the resulting measurement
- Parameters panel:
- Output panel:
- Viewing panel:
Development
Dependencies
Other modules or packages that are required for this module's use.
Known bugs
Follow this link to the Slicer3 bug tracker.
Usability issues
Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.
Source code & documentation
Links to documentation generated by doxygen.
More Information
Acknowledgment
Include funding and other support here.
References
Publications related to this module go here. Links to pdfs would be useful.