✦ LIBER ✦
A bayesian signal detection procedure for scale-space random fields
✍ Scribed by M. Farid Rohani; Khalil Shafie; Siamak Noorbaloochi
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- French
- Weight
- 960 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0319-5724
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
The authors consider the problem of searching for activation in brain images obtained from functional magnetic resonance imaging and the corresponding functional signal detection problem. They develop a Bayesian procedure to detect signals existing within noisy images when the image is modeled as a scale space random field. Their procedure is based on the Radon‐Nikodym derivative, which is used as the Bayes factor for assessing the point null hypothesis of no signal. They apply their method to data from the Montreal Neurological Institute.