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Apparatus and method for robust non-local means filtering of tomographic images

机译:用于对断层图像进行鲁棒的非局部均值滤波的设备和方法

摘要

An apparatus for performing a non-local means (NLM) filter is described. The pixel of the NLM-filtered image are weighted averages of pixels from a noisy image, where the weights are a measure of the similarity between patches of the noisy image. The similarity weights can be calculated using a Kullback-Leibler or a Euclidean distance measure. The similarity weights can be based on filtered patches of the noisy image. The similarity weights can be based on a similarity measure between patches of an anatomical image corresponding to the noisy image. The similarity weights can be calculated using a time series of noisy images to increase the statistical sample size of the patches. The similarity weights can be calculated using a weighted sum of channel similarity weights calculated between patches of noisy image that have been band-pass filtered. The NLM-filtered image can also be blended with a non-NLM-filtered image.
机译:描述了一种用于执行非本地均值(NLM)滤波器的设备。经NLM滤波的图像的像素是噪声图像中像素的加权平均值,其中权重是噪声图像各色块之间相似度的度量。可以使用Kullback-Leibler或欧几里得距离度量来计算相似度权重。相似度权重可以基于噪声图像的滤波后的补丁。相似度权重可以基于与噪声图像相对应的解剖图像的小块之间的相似度度量。可以使用噪声图像的时间序列来计算相似权重,以增加补丁的统计样本大小。可以使用已被带通滤波的噪声图像的小块之间计算的信道相似性加权的加权总和来计算相似性加权。 NLM过滤的图像也可以与非NLM过滤的图像混合。

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