Estimation and Removal of Physiological Noise from Undersampled Multi-slice fMRI data in Image Space

Author

Wang, S.J. ; Luo, L.M. ; Liang, X.Y. ; Gui, Z.G. ; Chen, C.X.

Author_Institution

Dept. of Biol. & Medical Eng., Southeast Univ., Nanjing

fYear

2006

Firstpage

1371

Lastpage

1373

Abstract

The signal variations induced by respiration and cardiac motion decrease the statistical significance in functional MRI data analysis. Significant components of these fluctuations are aliased into the activation spectrum in standard multi-slice imaging protocols. A method of estimation and removal physiological noise in image space is reported. Based on reordering the data from slice ordering to time ordering, the aliased physiological information is available in multi-slice magnitude images. Then physiological noise can be estimated and removed adaptively using signal projecting technique with the actual functional signal preserved

Keywords

biomedical MRI; fluctuations; image denoising; medical image processing; cardiac motion; fluctuations; image space; multislice magnitude images; physiological noise estimation; physiological noise removal; respiration; signal projecting technique; signal variations; slice ordering; time ordering; undersampled multislice fMRI; Biomedical monitoring; Data analysis; Fluctuations; Frequency; Heart beat; Image sampling; Magnetic resonance imaging; Protocols; Sampling methods; Working environment noise; data analysis; functional MRI; physiological noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1616683

Filename

1616683