DocumentCode :
2034868
Title :
Joint Estimation for Nonlinear Dynamic System from FMRI Time Series
Author :
Hu, Zhenghui ; Zhang, Heye ; Wang, Linwei ; Song, Xiaolan ; Shi, Pengcheng
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Hong Kong
Volume :
3
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
There is an increasing interest in the interactions of factors more directly related to the neutral activity in hemodynamic response (HR) with respect to different experimental conditions. In this work, we present a state-space approach, based on the Balloon model for blood oxygenation level dependent (BOLD) responses, which allows the estimation of the hidden state variables and parameters of the hemodynamic response at the same time. It offers an alternative strategy for understanding the interactions of indirectly observed factors and exploring the changes of biophysical model parameters in variant experimental conditions.
Keywords :
biomedical MRI; haemodynamics; nonlinear dynamical systems; state-space methods; time series; Balloon model; biophysical model parameter; blood oxygenation level dependent response; fMRI time series; hemodynamic response; hidden state variable; joint estimation; nonlinear dynamic system; state-space approach; Biomedical computing; Biomedical engineering; Biomedical imaging; Blood flow; Brain modeling; Hemodynamics; Kernel; Nonlinear dynamical systems; Psychology; State estimation; Unscented Kalman filter; hemodynamic response; joint estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379267
Filename :
4379267
Link To Document :
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