Documentation/Nightly/Modules/BrainTissuesMask

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Introduction and Acknowledgements

This work was partially funded by CAPES and CNPq (grant 201871/2015-7/SWE), a Brazilian research support agency. Information on CAPES can be obtained from the official websites, CAPES here and CAPES here. Author: Antonio Carlos da S. Senra Filho, CSIM Laboratory Contact: Antonio Carlos da S. Senra Filho <email>acsenrafilho@usp.br</email>

CSIM Laboratory   University of Sao Paulo   CAPES Brazil

Module Description

File:BrainTissuesMask-logo.png

Description...

Use Cases

Most frequently used for these scenarios:

• Use Case 1: Noise reduction as a preprocessing step for tissue segmentation
  • When dealing with single voxel classification schemes running noise reduction as a preprocessing scheme will reduce the number of single misclassified voxels.
• Use Case 2: Preprocessing to volume rendering
  • Noise reduction will result in nicer looking volume renderings
• Use Case 3: Noise reduction as part of image processing pipeline
  • Could offer a better segmentation and classification on specific brain image analysis such as in Multiple Sclerosis lesion segmentation

• BrainMNI orig.png

  MNI152 T1 brain image

Tutorials

• Usage:
  • Load the downloaded .mrb scene file into Slicer
  • Go to the Sequence browser module to browse the data set

Panels

{{documentation/Nightly/module-parametersde

Similar Modules

• GradientAnisotropicDiffusion

References

• Computing in Signals and Images in Medicine Laboratory (CSIM)

Repositories:

• Source code: GitHub repository
• Issue tracker: open issues and enhancement requests