Wavelet transform-based Wiener filtering of event-related fMRI data.

Abstract:

:The advent of event-related functional magnetic resonance imaging (fMRI) has resulted in many exciting studies that have exploited its unique capability. However, the utility of event-related fMRI is still limited by several technical difficulties. One significant limitation in event-related fMRI is the low signal-to-noise ratio (SNR). In this work, a method based on Wiener filtering in the wavelet domain is developed and demonstrated for denoising event-related fMRI data. Application of the technique to simulated and experimental data demonstrates that the technique is effective in reducing noise while preserving neuronal activity-induced response.

journal_name

Magn Reson Med

authors

LaConte SM,Ngan SC,Hu X

doi

10.1002/1522-2594(200011)44:5<746::aid-mrm13>3.0.c

subject

Has Abstract

pub_date

2000-11-01 00:00:00

pages

746-57

issue

5

eissn

0740-3194

issn

1522-2594

pii

10.1002/1522-2594(200011)44:5<746::AID-MRM13>3.0.C

journal_volume

44

pub_type

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