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

NA-MIC Publications Datebase

Key Investigators

• MIT: Polina Golland, Wanmei Ou
• BWH: Steve Pieper, Sandy Wells, Wendy Plesniak, Carsten Richter

Links

• fMRI Analysis Page
• Page describing this project