Skip navigation
Skip navigation

A Kullback-Leibler methodology for HRF estimation in fMRI data

Seghouane, Abd-Krim


Hemodynamic Response Function (HRF) estimation in functional Magnetic Resonance Imaging (fMRI) experiments is an important issue in functional neuroimages analysis. Indeed, when modeling each brain region as a stationary linear system characterized by its impulse response, the HRF describes the temporal dynamic of the brain region response during activations. Using the mixed-effects model, a new algorithm for maximum likelihood HRF estimation is derived. In this model, the random effect is used...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2010)
DOI: 10.1109/IEMBS.2010.5626278


File Description SizeFormat Image
01_Seghouane_A_Kullback-Leibler_methodology_2010.pdf253.48 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator