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Noise reduction for magnetic resonance images via adaptive multiscale products thresholding

Edge-preserving denoising is of great interest in medical image processing. This paper presents a wavelet-based multiscale products thresholding scheme for noise suppression of magnetic resonance images. A Canny edge detector-like dyadic wavelet transform is employed. This results in the significant...

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Published in:	IEEE transactions on medical imaging 2003-09, Vol.22 (9), p.1089-1099
Main Authors:	Bao, Paul, Zhang, Lei
Format:	Article
Language:	English
Subjects:	Additive white noise Algorithms Biological and medical sciences Feedback Gaussian noise Humans Image edge detection Image Enhancement - methods Liver - anatomy & histology Magnetic noise Magnetic resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical sciences Multivariate Analysis Noise reduction Rician channels Signal Processing, Computer-Assisted Signal to noise ratio Spine - anatomy & histology Stochastic Processes Wavelet transforms
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container_title	IEEE transactions on medical imaging
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creator	Bao, Paul Zhang, Lei
description	Edge-preserving denoising is of great interest in medical image processing. This paper presents a wavelet-based multiscale products thresholding scheme for noise suppression of magnetic resonance images. A Canny edge detector-like dyadic wavelet transform is employed. This results in the significant features in images evolving with high magnitude across wavelet scales, while noise decays rapidly. To exploit the wavelet interscale dependencies we multiply the adjacent wavelet subbands to enhance edge structures while weakening noise. In the multiscale products, edges can be effectively distinguished from noise. Thereafter, an adaptive threshold is calculated and imposed on the products, instead of on the wavelet coefficients, to identify important features. Experiments show that the proposed scheme better suppresses noise and preserves edges than other wavelet-thresholding denoising methods.
doi_str_mv	10.1109/TMI.2003.816958
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subjects	Additive white noise Algorithms Biological and medical sciences Feedback Gaussian noise Humans Image edge detection Image Enhancement - methods Liver - anatomy & histology Magnetic noise Magnetic resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical sciences Multivariate Analysis Noise reduction Rician channels Signal Processing, Computer-Assisted Signal to noise ratio Spine - anatomy & histology Stochastic Processes Wavelet transforms
title	Noise reduction for magnetic resonance images via adaptive multiscale products thresholding
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