Using an adaptive filter to extract the hemodynamic response from fMRI data

J. Steffener, G. Lange, B. M. Bly, B. Biswal, S. Reisman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Hemodynamic Response Function (HRF) is the impulse response of the blood oxygen level dependent (BOLD) signal in the brain. The BOLD signal is what functional magnetic resonance imaging (fMRI) is sensitive to; therefore, an estimate of the HRF provides valuable information about the underlying function of the brain. The normalized least mean squares adaptive filter estimates the HRF and extracts its shape for every spatial point (voxel) in a time series of fMRI data.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE 29th Annual Northeast Bioengineering Conference
EditorsStanley Reisman, Richard Foulds, Bruno Mantilla
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages75-76
Number of pages2
ISBN (Electronic)0780377672
DOIs
StatePublished - Jan 1 2003
Externally publishedYes
Event29th IEEE Annual Northeast Bioengineering Conference, NEBC 2003 - Newark, United States
Duration: Mar 22 2003Mar 23 2003

Publication series

NameProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
Volume2003-January
ISSN (Print)1071-121X
ISSN (Electronic)2160-7001

Other

Other29th IEEE Annual Northeast Bioengineering Conference, NEBC 2003
CountryUnited States
CityNewark
Period3/22/033/23/03

All Science Journal Classification (ASJC) codes

  • Bioengineering

Keywords

  • Adaptive filters
  • Biomedical engineering
  • Blood
  • Data mining
  • Finite impulse response filter
  • Hemodynamics
  • Magnetic resonance imaging
  • Psychiatry
  • Signal detection
  • System identification

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