RFASTfMRI-package: FAST Adaptive Smoothing and Thresholding for Improved...
In ialmodovar/RFASTfMRI: FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI
RFASTfMRI-package R Documentation
FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI
Description
Functional Magnetic Resonance Imaging is a noninvasive tool used to study brain function. Detecting activation is challenged by many factors, and even more so in low-signal scenarios that arise in the performance of high-level cognitive tasks. We provide a fully automated and fast adaptive smoothing and thresholding (FAST) algorithm that uses smoothing and extreme value theory on correlated statistical parametric maps for thresholding.
Maintainer
Israel Almodovar-Rivera <israel.almodovar@upr.edu>
Author(s)
Israel Almodovar-Rivera, Ranjan Maitra
References
Almodovar-Rivera, I., & Maitra, R. (2019). FAST adaptive smoothing and thresholding for improved activation detection in low-signal fMRI. IEEE transactions on medical imaging, 38(12), 2821-2828.
ialmodovar/RFASTfMRI documentation built on Aug. 30, 2022, 1:33 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| RFASTfMRI-package | R Documentation |
FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI
Description
Functional Magnetic Resonance Imaging is a noninvasive tool used to study brain function. Detecting activation is challenged by many factors, and even more so in low-signal scenarios that arise in the performance of high-level cognitive tasks. We provide a fully automated and fast adaptive smoothing and thresholding (FAST) algorithm that uses smoothing and extreme value theory on correlated statistical parametric maps for thresholding.
Maintainer
Israel Almodovar-Rivera <israel.almodovar@upr.edu>
Author(s)
Israel Almodovar-Rivera, Ranjan Maitra
References
Almodovar-Rivera, I., & Maitra, R. (2019). FAST adaptive smoothing and thresholding for improved activation detection in low-signal fMRI. IEEE transactions on medical imaging, 38(12), 2821-2828.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.