Difference between revisions of "Documentation/Nightly/Extensions/BrainTissuesExtension"
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{{documentation/{{documentation/version}}/module-section|Use Cases}} | {{documentation/{{documentation/version}}/module-section|Use Cases}} | ||
Most frequently used for these scenarios: | Most frequently used for these scenarios: | ||
| − | * Use Case 1: a | + | * Use Case 1: Specific tissue classification and study |
| − | ** | + | ** There are several quantitative approaches that are applied only in a certain tissue type (for instance, cortical thickness) in which a previous brain segmentation could be needed. |
| + | * Use Case 2: Restrict areas for image quantitative analysis | ||
| + | ** A white matter could be used for specific measurements in some diseases, for example, in Multiple Sclerosis it could be useful to define only the white matter region in order to test a automatic segmentation algorithm. | ||
| + | |||
<gallery widths="200px" perrow="3"> | <gallery widths="200px" perrow="3"> | ||
| − | Image: | + | Image:T1_fullBrain.png|A T1 weighted MRI image illustrating a usual brain |
| − | Image: | + | Image:T1_tissues.png|White matter, gray matter and CSF tissues segmented from the previous MRI image |
| − | + | Image:WM_3DReconstruction.png|A 3D reconstruction using only the white matter mask | |
| − | |||
| − | Image: | ||
</gallery> | </gallery> | ||
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{{documentation/{{documentation/version}}/extension-section|Similar Extensions}} | {{documentation/{{documentation/version}}/extension-section|Similar Extensions}} | ||
| − | + | [https://www.slicer.org/wiki/Modules:EMSegmenter-3.6 EM Segmenter] | |
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Revision as of 00:54, 26 November 2016
Home < Documentation < Nightly < Extensions < BrainTissuesExtension
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For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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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. | |||||||||
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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
Use Cases
Most frequently used for these scenarios:
- Use Case 1: Specific tissue classification and study
- There are several quantitative approaches that are applied only in a certain tissue type (for instance, cortical thickness) in which a previous brain segmentation could be needed.
- Use Case 2: Restrict areas for image quantitative analysis
- A white matter could be used for specific measurements in some diseases, for example, in Multiple Sclerosis it could be useful to define only the white matter region in order to test a automatic segmentation algorithm.
A T1 weighted MRI image illustrating a usual brain
White matter, gray matter and CSF tissues segmented from the previous MRI image
A 3D reconstruction using only the white matter mask
Similar Extensions
References
- paper
Information for Developers
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Section under construction. |
Repositories:
- Source code: GitHub repository
- Issue tracker: open issues and enhancement requests
