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分辨率和对比度降低。

Resolution and contrast reduction.

作者信息

Shuping R E, Judy P F

出版信息

Med Phys. 1978 Nov-Dec;5(6):491-6. doi: 10.1118/1.594459.

Abstract

Lack of resolution (unsharpness) can reduce contrast in diagnostic radiography if the proper conditions of magnification and unsharpness are met. To describe this phenomenon, a modification of the contrast reduction factor (CRF) was introduced which used the response function of a semi-opaque edge to predict contrast reduction for small bar-shaped objects. To predict CRF, unsharpness is employed as a single-term description of resolution and is obtained experimentally from the edge response function. The unsharpness term is defined as the distance over which the response goes from 16.5% to 83.5% of the maximum. Measured and predicted CRFs were compared and the CRF concept was found to be an excellent predictor of contrast reduction. The individual components of unsharpness were determined experimentally and the sum-of-squares rule predicted adequately their combination. Three methods to measure unsharpness were compared: (a) the ICRU prescription using pinhole radiographs of the focal spot, (b) one-dimensional integration of the focal-spot pinhole radiograph, and (c) the unsharpness term produced by a semi-opaque edge. The latter two were measured using a microdensitometer.

摘要

如果满足放大率和不清晰度的适当条件,分辨率不足(图像模糊)会降低诊断放射成像中的对比度。为描述这一现象,引入了对比度降低因子(CRF)的一种修正形式,它利用半透明边缘的响应函数来预测小条形物体的对比度降低情况。为预测CRF,将不清晰度用作分辨率的单一描述术语,并通过边缘响应函数实验性地获得。不清晰度术语定义为响应从最大值的16.5%变化到83.5%时的距离。对测量得到的CRF和预测得到的CRF进行了比较,发现CRF概念是对比度降低的出色预测指标。通过实验确定了不清晰度的各个组成部分,平方和规则能够充分预测它们的组合。比较了三种测量不清晰度的方法:(a) 使用焦点针孔射线照片的ICRU规定方法,(b) 焦点针孔射线照片的一维积分方法,以及(c) 半透明边缘产生的不清晰度术语方法。后两种方法使用微密度计进行测量。

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