Adaptive Magnetic Resonance Image Denoising Using Mixture Model and Wavelet Shrinkage

机译：基于混合模型和小波收缩的自适应磁共振图像降噪

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This paper proposes a new adaptive wavelet-based Magnetic Resonance images denoising algorithm. A Rician distribution for background-noise modelling is introduced and a Maximum-Likelihood method for the parameter estimation procedure is used. Further discrimination between edge- and noise-related coefficients is achieved by updating the shrinkage function along consecutive scales and applying spatial constraints. The efficacy of the algorithm is demonstrated on both simulated and real Magnetic Resonance images. The results is shown to be promising and outperform other denoising approaches.

机译：提出了一种新的基于自适应小波的磁共振图像去噪算法。介绍了用于背景噪声建模的Rician分布，并使用参数的最大似然方法进行参数估计。通过沿连续尺度更新收缩函数并应用空间约束，可以进一步区分边缘和噪声相关系数。在模拟和真实磁共振图像上都证明了该算法的有效性。结果表明，该结果很有希望，并且优于其他降噪方法。

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来源
《Biennial Australian Pattern Recognition Society Conference(DICTA2003) v.2; 2003; Sydney; AU》|2003年|P.831-838|共8页
会议地点 Sydney(AU);Sydney(AU);Sydney(AU)
作者
Lei Jiang; Wenhui Yang;
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作者单位

Biomedical Engineering Division, Institute of Electrical Engineering Chinese Academy of Sciences, Beijing, P.R.China;

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原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
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3. Wavelet Denoising of Multicomponent Images Using Gaussian Scale Mixture Models and a Noise-Free Image as Priors [J] . Scheunders P., De Backer S. IEEE Transactions on Image Processing . 2007,第7期

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4. Adaptive Magnetic Resonance Image Denoising Using Mixture Model and Wavelet Shrinkage [C] . Lei Jiang, Wenhui Yang Biennial Australian pattern recognition society conference . 2003

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5. Microarray image denoising using complex gaussian scale mixtures of complex wavelets. [D] . Srinivasan, Lakshmi. 2011

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Adaptive Magnetic Resonance Image Denoising Using Mixture Model and Wavelet Shrinkage

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