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Activity Number: 249
Type: Contributed
Date/Time: Monday, August 10, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Imaging
Abstract #315159 View Presentation
Title: A Bayesian Signal-Detection Procedure for Rotation-Space Random Fields
Author(s): Mozhdeh Forghani* and Khalil Shafie
Companies: UC Irvine and University of Northern Colorado
Keywords: Bayesian procedure ; rotatiion-space random field

We consider the problems of searching for activation in the brain regions by brain images obtained from FMRI, and corresponding functional signal detection. We develop a Bayesian procedure to detect brain activity signals within noisy images when the image is modeled as a rotation space random field. Our procedure is based on the Radon-Nikodym derivative, which is used as the Bayes factor for assessing the point null hypothesis of no signal. We applied our method to data from the Montreal Neurological Institute.

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