Difference between revisions of "Rhesus EM Segmentation"
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'''Key Investigators:''' | '''Key Investigators:''' | ||
| − | * Virginia Tech: Chris Wyatt | + | * Virginia Tech: Chris Wyatt, Vidya Rajagopalan |
* NAMIC: Kilian Pohl | * NAMIC: Kilian Pohl | ||
'''Links:''' | '''Links:''' | ||
| + | * A tutorial for EMSegment (in Slicer2.X) was developed for non-human primate data. The tutorial and the images are available [http://bsl.ece.vt.edu/download/NHP-EMSTut.zip here] | ||
Latest revision as of 03:45, 13 February 2008
Home < Rhesus EM SegmentationObjective:
- Use the EM segmentation algorithm in slicer to segment Rhesus images.
Progress:
- Results from 2007 Project Week
- Followingup on a recommendation by Martin Syner, we have extended the algorithm from the project week to use a lobular parcellation map to automate the splitting of regions. We are calling this Lobulated EM Segmentation (LEMS). We are testing this method on a N=7 subject data set currently and a paper is in preparation.
- LEMS was used to segment 7 subjects imaged in alcohol naive and post induction states. No significant changes in the GM-WM volume ratio was obseved.
Key Investigators:
- Virginia Tech: Chris Wyatt, Vidya Rajagopalan
- NAMIC: Kilian Pohl
Links:
- A tutorial for EMSegment (in Slicer2.X) was developed for non-human primate data. The tutorial and the images are available here
