DocumentCode :
139867
Title :
On the characterization of single-event related brain activity from functional Magnetic Resonance Imaging (fMRI) measurements
Author :
Khoram, Nafiseh ; Zayane, Chadia ; Laleg-Kirati, Taous-Meriem ; Djellouli, Rabia
Author_Institution :
Dept. of Math., California State Univ. Northridge (CSUN), Northridge, CA, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
2396
Lastpage :
2399
Abstract :
We propose an efficient numerical technique for calibrating the mathematical model that describes the single-event related brain response when fMRI measurements are given. This method employs a regularized Newton technique in conjunction with a Kalman filtering procedure. We have applied this method to estimate the biophysiological parameters of the Balloon model that describes the hemodynamic brain responses. Illustrative results obtained with both synthetic and real fMRI measurements are presented.
Keywords :
Kalman filters; Newton method; biomedical MRI; brain; haemodynamics; physiological models; Balloon model; Kalman filtering procedure; biophysiological parameters; functional Magnetic Resonance Imaging measurements; hemodynamic brain responses; mathematical model; numerical technique; real fMRI measurements; regularized Newton technique; single-event related brain activity characterization; single-event related brain response; synthetic fMRI measurements; Brain modeling; Convergence; Covariance matrices; Kalman filters; Noise; Noise measurement; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944104
Filename :
6944104
Link To Document :
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