Open AccessApplication of the Kalman Filter in Functional Magnetic Resonance Image Data
Author(s) -
V.J. Farias,
Marcus da Costa da Pinto Rocha,
Héliton Ribeiro Tavares
Publication year - 2020
Language(s) - English
Resource type - Journals
ISSN - 2411-2933
DOI - 10.31686/ijier.vol8.iss9.2657
Subject(s) - kalman filter , computer science , fast kalman filter , filter (signal processing) , artificial intelligence , preprocessor , functional magnetic resonance imaging , computer vision , noise (video) , pattern recognition (psychology) , extended kalman filter , image (mathematics) , speech recognition , psychology , neuroscience
The Kalman-Bucy filter was applied on the preprocessing of the functional magnetic resonance image-fMRI. Numerical simulations of hemodynamic response added Gaussian noise were performed to evaluate the performance of the filter. After the proceeding was applied in auditory real data. The Kohonen’s self-organized map was employed as tools to compare the performance of the Kalman’s filter with another type of pre-processing. The results of the application of Kalman-Bucy filter for simulated data and real auditory data showed that it can be used as a tool in the temporal filtering step in fMRI data.