title: Blind dereverberation for fMRI noise based on SIMO linear prediction method.
abstract: Room reverberation degrades performance of acoustic noise cancellation techniques for functional magnetic resonance imaging (fMRI) environment. In this paper, we present a method based on single input multiple output (SIMO) linear prediction to remove the reverberation from the observed broadband fMRI noise signal. A performance criteria is defined based on spectral characteristic of the signal and performance of the method is analyzed using two types of data, fMRI noise with and without speech signal.
authors.affiliation: Department of Electrical Engineering, University of Texas at Dallas, Richardson, Texas 75080, USA. hua.bao@student.utdallas.edu
authors.forename: Hua
authors.initials: H
authors.lastname: Bao
authors.forename: Issa M S
authors.initials: IM
authors.lastname: Panahi
authors.forename: Richard
authors.initials: R
authors.lastname: Briggs
mesh_terms: D016477:Artifacts; D001931:Brain Mapping / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009622:Noise