Difference between revisions of "2014 Project Week:TBISegmentation"
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Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]] | Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]] | ||
| − | Image: | + | Image:AcSeg_initial_box.jpg| Initial bounding box |
| + | Image:AcSeg_selftraining.jpg| Self training update | ||
| + | Image:AcSeg_activelearning.jpg| Active learning update | ||
| + | Image:AcSeg_final_alphamap.jpg| Final alpha map | ||
| + | Image:AcSeg_final_seg_normal_tissue_classes.jpg| Segmentation of normal tissue classes | ||
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==Key Investigators== | ==Key Investigators== | ||
Revision as of 05:50, 10 January 2014
Home < 2014 Project Week:TBISegmentation
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.
