Difference between revisions of "Documentation/Nightly/Extensions/BrainVolumeRefinement"
Latest revision as of 07:15, 14 September 2019Home < Documentation < Nightly < Extensions < BrainVolumeRefinement
For the stable Slicer documentation, visit the 4.10 page.
Introduction and Acknowledgements
This work was partially funded by CAPES and CNPq, Brazilian Agencies. Information on CAPES can be obtained on the CAPES website and CNPq website.
The Brain Volume Refinement (BVeR) extension is designed to assist neuroscience studies. The BVeR algorithm is suitable for a broad use of healthy brain structural MRI images, e.g. T1w and T2w, offering broad application in many large data analyses. The main contribution of the proposed method is related to the reduction of manual interference in the brain volume refinement after an automatic skull stripping procedure been performed, helping to reduce human errors and processing time. Even though the BVeR method does not provide a fully brain extraction algorithm, it can be helpful as a ad hoc image processing step in which increase the quality of well-known brain extraction algorithm in the literature. Any brain extracting frameworks can be refined with this method, e.g. FSL-BET, FreeSurfer, BEasT, 3DSkullStrip, ROBEX, OptiBET and many others.
- Structural T1w and T2w brain volume correction: BVeR
Most frequently used for these scenarios:
- Use Case 1: Cortical thickness surface delineation.
- When dealing with grey-matter overestimate due to badly brain extraction step.
- Use Case 2: Brain atrophy
- Assist in the total brain volume estimate also reducing the non-brain tissues belonging outside the grey-matter tissue frontier.
Information for Developers
|Section under construction.|