title: An efficient multistage algorithm for full calibration of the hemodynamic model from BOLD signal responses.
abstract: We propose a computational strategy that falls into the category of prediction/correction iterative-type approaches, for calibrating the hemodynamic model. The proposed method is used to estimate consecutively the values of the two sets of model parameters. Numerical results corresponding to both synthetic and real functional magnetic resonance imaging measurements for a single stimulus as well as for multiple stimuli are reported to highlight the capability of this computational methodology to fully calibrate the considered hemodynamic model.
authors.affiliation: Department of Mathematics & Interdisciplinary Research Institute for the Sciences, California State University, Northridge, CA 91330, USA.
authors.forename: Brian
authors.identifier: 0000-0002-1497-1954
authors.initials: B
authors.lastname: Zambri
authors.affiliation: Department of Mathematics & Interdisciplinary Research Institute for the Sciences, California State University, Northridge, CA 91330, USA.
authors.forename: Rabia
authors.initials: R
authors.lastname: Djellouli
authors.affiliation: Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, KSA.
authors.forename: Taous-Meriem
authors.initials: TM
authors.lastname: Laleg-Kirati
mesh_terms: D000465:Algorithms; D002138:Calibration; D006439:Hemodynamics; D006801:Humans; D008279:Magnetic Resonance Imaging; D008954:Models, Biological
keywords: hemodynamic model; inverse problem; parameter estimation