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Wavelet-based Rician noise removal for magnetic resonance imaging

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Title: Wavelet-based Rician noise removal for magnetic resonance imaging
Author: Nowak, Robert David
Type: Journal article
Keywords: MRI; multiresolution; denoising
Citation: R. D. Nowak, "Wavelet-based Rician noise removal for magnetic resonance imaging," IEEE Transactions on Image Processing, vol. 8, no. 10, pp. 1408-1419, 1999.
Abstract: It is well-known that the noise in magnetic resonance magnitude images obeys a Rician distribution. Unlike additive Gaussian noise, Rician noise is signal-dependent and consequently spearating signal from noise is a difficult task. Rician noise is especially problematic in low signal-to-noise ration (SNR) regimes where it not only causes random fluctations, but also introduces a signal-dependent bias to the data that reduces image contrast. This paper studies wavelet-domain filtering methods for Rician noise removal. We derive a novel wavelet-domain filter that adapts to variations in both the signal and the noise. The new wavelet-domain filter reduces Rician noise contamination in both high and low SNR regimes.
Date Published: 1999-10-20

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  • ECE Publications [1048 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.