2017 Winter Project Week/MeningiomaSegmentation
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Home < 2017 Winter Project Week < MeningiomaSegmentation
Key Investigators
- Jakub Kaczmarzyk, MIT
- Satrajit Ghosh, MIT
- Omar Arnaout, Brigham and Women's Hospital
Project Description
Objective | Approach and Plan | Progress and Next Steps |
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Progress
Next steps
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Examples
Sometimes, ANTs failed to remove parts of the skull close to the tumor or wrongly removed part of the brain.
But other times, ANTs extracted the brain very well. Automatic segmentation with ANTs usually classified as CSF or it classified different parts of the tumor as different types of tissue. Semi-automatic segmentation with Slicer was relatively successful. Sometimes the segmentation would bleed outside of the tumor into voxels with similar intensities. |
We tried FSL's FAST with different numbers of classes. None of these methods could identify the entire tumor mass as one type of tissue in this scan. |
Background and References
MR images of meningiomas that will be used in this project are available at OpenNeu.ro.