Online Program Home
My Program

Abstract Details

Activity Number: 527 - Diagnostic Tests: Student Papers and Correlated Data
Type: Contributed
Date/Time: Wednesday, August 1, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Medical Devices and Diagnostics
Abstract #328571 Presentation
Title: FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI
Author(s): Israel Almodovar-Rivera* and Ranjan Maitra
Companies: University of Puerto Rico-Medical Science Campus and Iowa State University
Keywords: AM-FAST; AR-FAST; Circulant matrix; Gumbel distribution; Reverse Weibull
Abstract:

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. Performance on simulation experiments spanning a range of low-signal settings is very encouraging. The methodology also performs well in a study to identify the cerebral regions that perceive only-auditory-reliable and only-visual-reliable speech stimuli as well as those that perceive one but not the other.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program