Projects:SpatialRegularizationForfMRIDetection
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Spatial Regularization for fMRI Detection
Our objective is to improve the accuracy of activation detection in fMRI through incorporation of sophisticated prior models on activation, including anatomical priors.
Description
The work on MRF-based regularization of the fMRI activation maps was presented at IPMI last summer. The algorithm implementation in Slicer is underway in collaboration with BWH. Our plans include releasing the code into the itk libaray.
Publications
In Print
Key Investigators
- MIT: Polina Golland, Wanmei Ou
- BWH: Steve Pieper, Sandy Wells, Wendy Plesniak, Carsten Richter
