Title

Partially Adaptive STAP for fMRI: A Method for Detecting Brain Activation Regions in Simulation and Human Data

Document Type

Presentation

Presentation Date

2007

Conference Name

4th IEEE International Symposium on Biomedical Imaging

Conference Location

Arlington, Virginia

Source of Publication

Biomedical Imaging: From Nano to Macro, 2007

Publisher

Institute of Electrical and Electronics Engineers

Publication Date

4-13-2007

Volume

ISBI 2007

Inclusive pages

400-403

Abstract

This paper introduces three partially adaptive space-time processing (STAP) schemes for analyzing fMRI data. Element space partially adaptive STAP can achieve performance close to that of fully adaptive STAP while greatly decreasing the CPU running time and memory requirements when applied to both synthetic as well as real human brain data. In synthetic analyses, partially adaptive STAP algorithms exhibit better detection characteristics than the traditional cross-correlation method. This is supported by human data in which element space and fully adaptive STAP produce activation maps that closely resemble those of cross-correlation.

Keywords

biomedical, MRI, brain, medical signal processing, thompson

Disciplines

Engineering

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