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A state space based approach in non-linear hemodynamic response modeling with fMRI data

Hettiarachchi, Imali T., Pathirana, Pubudu N. and Brotchie, Peter 2010, A state space based approach in non-linear hemodynamic response modeling with fMRI data, in EMBC 2010 : Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society “Merging Medical Humanism and Technology”, IEEE, Piscataway, N.J., pp. 2391-2394.

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Title A state space based approach in non-linear hemodynamic response modeling with fMRI data
Author(s) Hettiarachchi, Imali T.
Pathirana, Pubudu N.
Brotchie, Peter
Conference name Annual International Conference of the IEEE Engineering in Medicine and Biology Society (32nd : 2010 : Buenos Aires, Argentina)
Conference location Buenos Aires, Argentina
Conference dates 31 Aug. - 4 Sep. 2010
Title of proceedings EMBC 2010 : Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society “Merging Medical Humanism and Technology”
Editor(s) [Unknown]
Publication date 2010
Conference series Institute of Electrical and Electronics Engineers Engineering in Medicine and Biology Society International Conference
Start page 2391
End page 2394
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Summary In this paper we use the modified and integrated version of the balloon model in the analysis of fMRI data. We propose a new state space model realization for this balloon model and represent it with the standard A,B,C and D matrices widely used in system theory. A second order Padé approximation with equal numerator and denominator degree is used for the time delay approximation in the modeling of the cerebral blood flow. The results obtained through numerical solutions showed that the new state space model realization is in close agreement to the actual modified and integrated version of the balloon model. This new system theoretic formulation is likely to open doors to a novel way of analyzing fMRI data with real time robust estimators. With further development and validation, the new model has the potential to devise a generalized measure to make a significant contribution to improve the diagnosis and treatment of clinical scenarios where the brain functioning get altered. Concepts from system theory can readily be used in the analysis of fMRI data and the subsequent synthesis of filters and estimators.
ISBN 9781424441242
ISSN 1557-170X
Language eng
Field of Research 110999 Neurosciences not elsewhere classified
Socio Economic Objective 920199 Clinical Health (Organs, Diseases and Abnormal Conditions) not elsewhere classified
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2010
Copyright notice ©2010, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30030392

Document type: Conference Paper
Collection: School of Engineering
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