Difference between revisions of "Documentation/4.8/Modules/SeparateVectorImage"

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Latest revision as of 07:10, 18 October 2017

Home < Documentation < 4.8 < Modules < SeparateVectorImage


For the latest Slicer documentation, visit the read-the-docs.


Introduction and Acknowledgements

Extensions: BoneTextureExtesion
Author: Jean-Baptise Vimort, Kitware Inc.
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)
Contact: Jean-Baptiste Vimort, <email>jb.vimort@kitware.com</email>
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).
License: Apache License, Version 2.0


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

SeparateVectorImage-Interface.png
  • Input Parameters:
    • Input Volume [index: 0] : diffusion weighted image that need to be separated
    • Output File Base Name [index: 1] : 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

Additional Information

Similar Modules

N/A

Information for Developers

The source code is available on github