Difference between revisions of "2013 Winter Project Week:MABS"
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Latest revision as of 01:04, 11 January 2013
Home < 2013 Winter Project Week:MABS
Key Investigators
- Greg Sharp, Nadya Shusharina, MGH
- Polina Golland, MIT
MABS is a program for multi-atlas based segmentation. It uses a database of multiple, segmented input images to produce a segmented result on a new image. The database is first "trained" to improve both accuracy and speed. Then, when given a new case, examples are selected from the atlas, registered to the new case, and then voting is performed to create an output segmentation.
Objective
- Create command line module for multi-atlas based segmentation
- If time allows, begin working on loadable module
Approach, Plan
- A command line module was started in Summer project week, but it is not complete
- It needs a way to specify the atlas and training directories, and specify output
- To start with, we will export as Slicer labelmap, then move to RTSTRUCT after converting to loadable
Progress
- First results!
- Segmented the brainstem using an atlas of two subjects.
