Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach - Chaari, L.; Vincent, T.; Forbes, F.; Dojat, M.; Ciuciu, P. (IEEE transactions on medical imaging, 2013)
Keywords: Algorithms; Approximation methods; Bayes Theorem; Bayesian methods; Brain - blood supply; Brain - physiology; Brain Mapping - methods; Computational modeling; Computer Science; Computer Simulation; Data models; Databases, Factual; Engineering Sciences; Estimation; Expectation-maximization (EM) algorithm; functional magnetic resonance imaging (fMRI); Hemodynamics; Hidden Markov models; Humans; joint detection-estimation; Joints; Life Sciences; Magnetic Resonance Imaging - methods; Markov Chains; Markov random field; Medical Imaging; Neurons and Cognition; Signal and Image Processing; Signal Processing, Computer-Assisted; variational approximation; brain imaging; functional MRI; fMRI; Biomedical signal detection-estimation; Variational approximation; Markov random field; Joint Detection-Estimation; Mean-field; EM algorithm; VEM