Efficient solution methodology for calibrating the hemodynamic model using functional Magnetic Resonance Imaging (fMRI) measurements

Handle URI:
http://hdl.handle.net/10754/621353
Title:
Efficient solution methodology for calibrating the hemodynamic model using functional Magnetic Resonance Imaging (fMRI) measurements
Authors:
Zambri, Brian; Djellouli, Rabia; Laleg-Kirati, Taous-Meriem ( 0000-0001-5944-0121 )
Abstract:
Our aim is to propose a numerical strategy for retrieving accurately and efficiently the biophysiological parameters as well as the external stimulus characteristics corresponding to the hemodynamic mathematical model that describes changes in blood flow and blood oxygenation during brain activation. The proposed method employs the TNM-CKF method developed in [1], but in a prediction/correction framework. We present numerical results using both real and synthetic functional Magnetic Resonance Imaging (fMRI) measurements to highlight the performance characteristics of this computational methodology. © 2015 IEEE.
KAUST Department:
Applied Mathematics and Computational Science Program
Citation:
Zambri B, Djellouli R, Laleg-Kirati T-M (2015) Efficient solution methodology for calibrating the hemodynamic model using functional Magnetic Resonance Imaging (fMRI) measurements. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Available: http://dx.doi.org/10.1109/EMBC.2015.7318935.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Conference/Event name:
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Issue Date:
5-Nov-2015
DOI:
10.1109/EMBC.2015.7318935
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/document/7318935
Appears in Collections:
Conference Papers; Applied Mathematics and Computational Science Program

Full metadata record

DC FieldValue Language
dc.contributor.authorZambri, Brianen
dc.contributor.authorDjellouli, Rabiaen
dc.contributor.authorLaleg-Kirati, Taous-Meriemen
dc.date.accessioned2016-11-03T06:58:20Z-
dc.date.available2016-11-03T06:58:20Z-
dc.date.issued2015-11-05en
dc.identifier.citationZambri B, Djellouli R, Laleg-Kirati T-M (2015) Efficient solution methodology for calibrating the hemodynamic model using functional Magnetic Resonance Imaging (fMRI) measurements. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Available: http://dx.doi.org/10.1109/EMBC.2015.7318935.en
dc.identifier.doi10.1109/EMBC.2015.7318935en
dc.identifier.urihttp://hdl.handle.net/10754/621353-
dc.description.abstractOur aim is to propose a numerical strategy for retrieving accurately and efficiently the biophysiological parameters as well as the external stimulus characteristics corresponding to the hemodynamic mathematical model that describes changes in blood flow and blood oxygenation during brain activation. The proposed method employs the TNM-CKF method developed in [1], but in a prediction/correction framework. We present numerical results using both real and synthetic functional Magnetic Resonance Imaging (fMRI) measurements to highlight the performance characteristics of this computational methodology. © 2015 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7318935en
dc.titleEfficient solution methodology for calibrating the hemodynamic model using functional Magnetic Resonance Imaging (fMRI) measurementsen
dc.typeConference Paperen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.identifier.journal2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)en
dc.conference.date25 August 2015 through 29 August 2015en
dc.conference.name37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015en
dc.contributor.institutionDepartment of Mathematics, Interdisciplinary Research Institute for the Sciences (IRIS), California State University, Northridge, CA, United Statesen
kaust.authorLaleg-Kirati, Taous-Meriemen
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