Signal subspace based enhancement and MAP parameter estimation of fMRI signals

Author

Srikanth, R. ; Ramakrishnan, A.G. ; Jayakumar, P.N.

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India

Volume

2

fYear

2003

fDate

15-17 Oct. 2003

Firstpage

520

Abstract

We propose a signal subspace based functional magnetic resonance image (fMRI) signal enhancement followed by maximum a posteriori (MAP) estimation of the parameters of a hemodynamic response function (HRF). The fMRI time-series, which is corrupted by physiological and scanner noise, is a low SNR signal. This signal is projected onto signal-plus-noise space and then enhanced in this space. The enhanced signal is then used to estimate the parameters of the HRF using MAP estimation. Preliminary results indicate that signal enhancement greatly improves the estimation performance.

Keywords

biomedical MRI; haemodynamics; image enhancement; maximum likelihood estimation; random noise; MAP estimation; MAP parameter estimation; SNR; fMRI signal enhancement; functional magnetic resonance imaging; hemodynamic response function; maximum a posteriori estimation; signal-plus-noise space; Blood; Brain; Hemodynamics; Linearity; Magnetic resonance; Magnetic resonance imaging; Noise reduction; Noninvasive treatment; Parameter estimation; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region

Print_ISBN

0-7803-8162-9

Type

conf

DOI

10.1109/TENCON.2003.1273213

Filename

1273213