Documentation/Nightly/Extensions/BrainTissuesExtension

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Introduction and Acknowledgements

This work was partially funded by CAPES and CNPq, a Brazillian Agencies. Information on CAPES can be obtained on the CAPES website and CNPq website. Author: Antonio Carlos da S. Senra Filho, CSIM Laboratory (University of Sao Paulo, Department of Computing and Mathematics) Contact: Antonio Carlos da S. Senra Filho <email>acsenrafilho@usp.br</email>

CSIM Laboratory   University of Sao Paulo   CNPq Brazil   CAPES Brazil

Extension Description

Brain tissue segmentation plays an important role in many different image processing steps, which can offer a possibility to study different parts of the brain in different hypothesis, such as neurodegenerative disease progression and global brain structural quantitative parameters (brain atrophy, for instance). For this reason, tissue segmentation procedures have been intensively studied in the recent years. This extension aims to offer a fast, reliable and simple solutions for brain tissue segmentation, in which are separated in different modules. See the modules list below to find the most appropriate tool for your study.

Modules

• Brain Structures Segmenter

Use Cases

Most frequently used for these scenarios:

• Use Case 1: a
  • b

• 

  Raw T1 weighted MRI Image

• 

  T1 weighted MRI Image with AAD filter (q=1.2)

• 

  T1 weighted MRI Image with IAD filter (q=1.2)

• 

  DTI-FA map without image filtering process

• 

  DTI-FA map with AAD image filtering (q=0.4)

Similar Extensions

N/A

References

• paper

Information for Developers

Repositories:

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