Wavelet-based Rician noise removal for magnetic resonance imaging
Wavelet-based Rician noise removal for magnetic resonance imaging
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DOI：
10.1109/83.791966
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发表时间：
1999-10-01
影响因子：
10.6
通讯作者：
Nowak, RD
中科院分区：
文献类型：
--
作者：
Nowak, RD
众所周知，磁共振幅度图像数据服从Rician分布。与加性高斯噪声不同，莱斯“噪声”是信号相关的，并且将信号从噪声中分离是一项困难的任务。莱斯噪声在低信噪比（SNR）状态下尤其成问题，在低信噪比状态下，莱斯噪声不仅导致随机波动，而且还向数据引入信号依赖性偏置，这降低了图像对比度。本文研究了小波域滤波去除Rician噪声的方法。我们提出了一种新的小波域滤波器，适应信号和噪声的变化。
It is well known that magnetic resonance magnitude image data obey a Rician distribution. Unlike additive Gaussian noise, Rician "noise" is signal-dependent, and separating signal from noise is a difficult task. Rician noise is especially problematic in low signal-to noise ratio (SNR) regimes where it not only causes random fluctuations, 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 present a novel wavelet-domain filter that adapts to variations in both the signal and the noise.