Collaboration/WFU/NonHuman Primate Neuroimaging

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Key Investigators

• VT: Chris Wyatt
• BWH: Kilian Pohl

Objective

The objectives of this project are to:

1. Optimize the EM Brain Classifier in Slicer on MRI images of rhesus macaques
2. Develop a custom GM/WM/CSF atlas, bootstrapping from one provided by Martin Styner
3. Integrate a sub-cortical atlas
4. Segment data from N subjects in the alcohol naive and post-induction state.
5. Compare GM/WM volume and ratios between the two states
6. Compare hippocampus, putamen, and caudate volumes between states

Approach, Plan

We will use the current implementation of the EM Brain classifier in slicer. Using a manual segmentation as an estimate of ground truth in a single subject, we will optimize the EM segmenter parameters over the classification error and running time. The study will be run via VPN on a Sungrid at VT.

Progress

Prior to the project week:

• Study data on 8 subjects at two time points (alcohol naive and post-induction) organized
• Study data has been skull stripped, ECC masks created, and GM/WM/CSF priors registered to each subject. The ECC masks may need some hand editing and, as a result, the atlas-priors to subject registration is poor in several subjects.

Monday: Tuesday: Wednesday: Thursday: Friday:

References

• K. M. Pohl, J. Fisher, W.E.L. Grimson, R. Kikinis, and W.M. Wells. A Bayesian Model for Joint Segmentation and Registration. NeuroImage, 31(1), pp. 228-239, 2006.
• E. V. Sullivan, H. J. Sable, W. N Strother, D. P. Friedman, A. Davenport, H. Tillman-Smith, R. A. Kraft, C. L. Wyatt, K. T. Szeliga, N. C. Buchheimer, J. B. Daunais, E. Adalsteinsson, A. Pfefferbaum, K. A Grant, Neuroimaging of Rodent and Primate Models of Alcoholism: Initial Reports from the Integrative Neuroscience Initiative on Alcoholism, Alcoholism: Clinical and Experimental Research Vol. 29 No. 2 pgs 287-294 Feb 2005.