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临床数字图像中的噪声含量分析

Noise content analysis in clinical digital images.

作者信息

Chuang K S, Liu B J, Huang H K, Yonekawa H, Sankaran A

机构信息

Institute of Nuclear Science, National Tsing-Hua University, Taiwan.

出版信息

Radiographics. 1994 Mar;14(2):397-403; discussion 404-5. doi: 10.1148/radiographics.14.2.8190962.

Abstract

Most digital modalities in radiology use 12 bits precision to store the digital images. To determine whether all these bits contain useful information, a statistical method called the Moran test was used to measure the noise level in computed tomographic, magnetic resonance, and digital radiographic images. The test was performed on the bit planes of each pixel. After the noise level was estimated, the pixel data were separated into signal bits and noise bits, and image enhancement techniques were applied on the noise-bits-removed images to demonstrate that the removal of noise bits did not affect image quality. Preliminary results showed no noticeable difference between the original images and the noise-bits-removed images.

摘要

放射学中的大多数数字模态使用12位精度来存储数字图像。为了确定所有这些位是否包含有用信息,一种称为莫兰检验的统计方法被用于测量计算机断层扫描、磁共振和数字射线照相图像中的噪声水平。该测试在每个像素的位平面上进行。估计噪声水平后,将像素数据分离为信号位和噪声位,并对去除噪声位的图像应用图像增强技术,以证明去除噪声位不会影响图像质量。初步结果表明,原始图像与去除噪声位的图像之间没有明显差异。

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