A method for modeling noise in medical images
A method for modeling noise in medical images
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DOI：
10.1109/tmi.2004.832656
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发表时间：
2004-10-01
影响因子：
10.6
通讯作者：
De Guise, JA
中科院分区：
文献类型：
--
作者：
Gravel, P;Beaudoin, G;De Guise, JA
我们已经开发了一种方法来研究各种医学图像中发现的噪声的统计特性。该方法是专门为具有不相关波动的噪声类型而设计的。这样的信号波动通常起源于成像的物理过程而不是组织纹理。各种类型的噪声（例如，光子、电子学和量化）通常会导致医学图像的劣化;总体噪声通常被假设为具有零均值、恒定方差高斯分布的加性。然而，统计分析表明，噪声方差可以更好地由图像强度的非线性函数来建模，该非线性函数取决于与图像采集协议相关的外部参数。我们提出了一种提取图像强度与噪声方差之间关系并评估相应参数的方法。该方法被成功地应用到磁共振图像与不同的采集序列和几种类型的X射线图像。
We have developed a method to study the statistical properties of the noise found in various medical images. The method is specifically designed for types of noise with uncorrelated fluctuations. Such signal fluctuations generally originate in the physical processes of imaging rather than in the tissue textures. Various types of noise (e.g., photon, electronics, and quantization) often contribute to degrade medical images; the overall noise is generally assumed to be additive with a zero-mean, constant-variance Gaussian distribution. However, statistical analysis suggests that the noise variance could be better modeled by a nonlinear function of the image intensity depending on external parameters related to the image acquisition protocol. We present a method to extract the relationship between an image intensity and the noise variance and to evaluate the corresponding parameters. The method was applied successfully to magnetic resonance images with different acquisition sequences and to several types of X-ray images.