Difference between revisions of "Documentation/Nightly/Modules/SeparateVectorImage"
(Created page with "<noinclude>{{documentation/versioncheck}}</noinclude> <!-- ---------------------------- --> {{documentation/{{documentation/version}}/module-header}} <!-- --------------------...") |
|||
| (2 intermediate revisions by the same user not shown) | |||
| Line 11: | Line 11: | ||
'''''Contributors:''''' Beatriz Paniagua (Kitware Inc), Lucia Cevidanes (University of Michigan - School of Dentistry), Erika Benavides (University of Michigan - School of Dentistry), Antônio Carlos de Oliveira Ruellas (University of Michigan - School of Dentistry)<br> | '''''Contributors:''''' Beatriz Paniagua (Kitware Inc), Lucia Cevidanes (University of Michigan - School of Dentistry), Erika Benavides (University of Michigan - School of Dentistry), Antônio Carlos de Oliveira Ruellas (University of Michigan - School of Dentistry)<br> | ||
'''''Contact:''''' Jean-Baptiste Vimort, <email>jb.vimort@kitware.com</email><br> | '''''Contact:''''' Jean-Baptiste Vimort, <email>jb.vimort@kitware.com</email><br> | ||
| − | '''''Acknowledgments:''''' This work was supported by the National Institute of Health (NIH) National Institute for Dental and | + | '''''Acknowledgments:''''' This work was supported by the National Institute of Health (NIH) National Institute for Dental and Craniofacial Research (NIDCR) grant R21DE025306 (Textural Biomarkers of Arthritis for the Subchondral Bone in the Temporomandibular Joint), NIDCR grant R01DE024450 (Quantification of 3D bony Changes in |
| − | + | Temporomandibular Joint Osteoarthritis) and National Institute of Biomedical Imaging and Bioengineering NIBIB) grant R01EB021391 (Shape Analysis Toolbox for Medical Image Computing Projects).<br> | |
| − | in the Temporomandibular Joint), NIDCR grant R01DE024450 (Quantification of 3D bony Changes in | ||
| − | Temporomandibular Joint Osteoarthritis) and National Institute of Biomedical Imaging and Bioengineering | ||
| − | |||
'''''License:''''' [http://www.apache.org/licenses/LICENSE-2.0.html Apache License, Version 2.0] | '''''License:''''' [http://www.apache.org/licenses/LICENSE-2.0.html Apache License, Version 2.0] | ||
| Line 30: | Line 27: | ||
<!-- ---------------------------- --> | <!-- ---------------------------- --> | ||
| − | This | + | This module can be used in order to separate a vectorImage (i.e. a diffusion weighted image) into several images.<br> |
Each created image will contain one component of the input vectorImage.<br> | Each created image will contain one component of the input vectorImage.<br> | ||
<br> | <br> | ||
| Line 44: | Line 41: | ||
** <span style="color:green">'''Output File Base Name'''</span> [<span style="color:orange">index: 1</span>] : File name that will be used to save the output volumes (.nrrd files): a number (corresponding to the index of the extracted component in the input file) will be added to this name for each output volume | ** <span style="color:green">'''Output File Base Name'''</span> [<span style="color:orange">index: 1</span>] : File name that will be used to save the output volumes (.nrrd files): a number (corresponding to the index of the extracted component in the input file) will be added to this name for each output volume | ||
|} | |} | ||
| + | |||
| + | <!-- ---------------------------- --> | ||
| + | {{documentation/{{documentation/version}}/module-section|Additional Information}} | ||
| + | |||
| + | * [http://www.insight-journal.org/browse/publication/985 InsightJournal article] | ||
| + | * [https://github.com/InsightSoftwareC BoneTextureExtension Tutorial] | ||
<!-- ---------------------------- --> | <!-- ---------------------------- --> | ||
Latest revision as of 14:38, 6 July 2017
Home < Documentation < Nightly < Modules < SeparateVectorImage
|
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
|
Extensions: BoneTextureExtesion
|
Module Description
This module can be used in order to separate a vectorImage (i.e. a diffusion weighted image) into several images.
Each created image will contain one component of the input vectorImage.
For example, if the input is a diffusion-weighted image where each voxel contains a vector of 8 values, 8 images will be generated as outputs.
Use Cases
|
|
Additional Information
Similar Modules
N/A
Information for Developers
The source code is available on github
