DocumentCode :
1946496
Title :
Adaptive denoising technique for robust analysis of functional magnetic resonance imaging data
Author :
Ouda, Bassem K. ; Tawfik, Bassel M. ; Youssef, Abou-Bakr M. ; Kadah, Yasser M.
Author_Institution :
Biomed. Eng. Dept., Cairo Univ., Egypt
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
2476
Abstract :
A new adaptive signal-preserving technique for noise suppression in functional magnetic resonance imaging (fMRI) data is proposed based on spectrum subtraction. The proposed technique estimates a model for the power spectrum of random noise from the acquired data. This model is used to estimate a noise-suppressed power spectrum for any given pixel time course by simple subtraction of power spectra. The new technique is tested using computer simulations and real data for event-related fMRI experiments. The results show the potential of the new technique in suppressing noise while preserving the other deterministic components. Moreover, further analysis using principal component analysis (PCA) and independent component analysis (ICA) shows a significant improvement in both convergence and clarity of results when the new technique is used. This suggests the value of the new technique as a useful preprocessing step for this type of signal.
Keywords :
adaptive signal processing; biomedical MRI; digital simulation; independent component analysis; medical image processing; noise; principal component analysis; adaptive denoising technique; deterministic components; event-related fMRI experiments; functional magnetic resonance imaging data analysis; medical diagnostic imaging; noise suppression; noise-suppressed power spectrum; pixel time course; power spectra subtraction; preprocessing step; results clarity; results convergence; signal denoising; Computer simulation; Image analysis; Independent component analysis; Magnetic analysis; Magnetic noise; Magnetic resonance imaging; Noise reduction; Noise robustness; Principal component analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7211-5
Type :
conf
DOI :
10.1109/IEMBS.2001.1017280
Filename :
1017280
Link To Document :
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