2014 Project Week:TBISegmentation
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Initial bounding box
Self training update
Active learning update
Final alpha map
Segmentation of normal tissue classes
Key Investigators
- GE: Marcel Prastawa
- Utah: Bo Wang, Guido Gerig
- USC: Andrei Irimia, Jack Van Horn
Project Description
Objective
- Develop a pipeline combining our TBI segmentation algorithm with other Slicer modules.
- Study and gain understanding of the manual process for segmenting TBI.
- Test the algorithm with users from USC.
Approach, Plan
- Wrap existing code into a Slicer extension.
- Determine approaches for user interaction for semi-automatic segmentation.
- Test and evaluate Slicer modules for TBI processing:
- Intra and inter time points coregistration.
- Initial atlas alignment using affine transformation.
- Skull stripping to obtain initial brain mask.
