Blind Dereverberation for fMRI Noise Based on SIMO Linear Prediction Method

Author

Hua Bao ; Panahi, I.M.S. ; Briggs, R.

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

2831

Lastpage

2834

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.

Keywords

acoustic noise; biomedical MRI; SIMO linear prediction method; acoustic noise cancellation; blind room dereverberation; broadband fMRI noise signal; functional magnetic resonance imaging; magnetic resonance imaging; single input multiple output method; Acoustic noise; Degradation; Magnetic noise; Magnetic resonance imaging; Noise cancellation; Prediction methods; Reverberation; Signal analysis; Speech analysis; Working environment noise; Artifacts; Brain Mapping; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4352918

Filename

4352918