Title :
Using an adaptive filter to extract the hemodynamic response from fMRI data
Author :
Steffener, J. ; Lange, G. ; Bly, B.M. ; Biswal, B. ; Reisman, S.
Author_Institution :
Dept. of Biomed. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
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.
Keywords :
adaptive filters; biomedical MRI; haemodynamics; medical image processing; oxygen; time series; O2; blood oxygen level dependent signal; fMRI data time series; functional magnetic resonance imaging; hemodynamic response extraction; impulse response; shape extraction; spatial point; voxel; Adaptive filters; Biomedical engineering; Blood; Data mining; Finite impulse response filter; Hemodynamics; Magnetic resonance imaging; Psychiatry; Signal detection; System identification;
Conference_Titel :
Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
Print_ISBN :
0-7803-7767-2
DOI :
10.1109/NEBC.2003.1215999
