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一种增强数字胸部X光片中不同组织密度显示的自动方法。

An automatic method for enhancing the display of different tissue densities in digital chest radiographs.

作者信息

McNitt-Gray M F, Taira R K, Johnson S L, Razavi M

机构信息

Department of Radiological Sciences, University of California, Los Angeles 90024-1721.

出版信息

J Digit Imaging. 1993 May;6(2):95-104. doi: 10.1007/BF03168436.

Abstract

Digital chest radiographs are often too bright and/or lack contrast when viewed on a video display. This often occurs in radiographs taken of patients with dense lungs, or when incorrect x-ray exposure techniques or inappropriate image preprocessing operations are performed (eg, by the computed radiography system or laser scanner). This article describes a method to automatically provide brightness and contrast adjustments to selectively enhance either soft or dense tissues. This method reduces viewer interaction and improves displayed image quality. The algorithm analyzes the gray-level histogram of a chest radiograph and determines the breakpoints that separate the region outside the patient (background), the radiographically soft tissues, and the radiographically dense tissues. From these breakpoints, a series of piecewise linear look-up tables (LUTs) is generated to selectively enhance either the soft tissues or the dense tissues. This is performed by: (1) varying the contrast in the patient background to achieve the desired overall brightness, (2) selectively increasing the contrast of the tissue region of interest, and (3) reducing or maintaining the contrast of the remaining region. The resulting LUTs are applied to the original image via video display.

摘要

数字胸部X光片在视频显示器上查看时,往往过于明亮和/或缺乏对比度。这种情况经常发生在对肺部致密的患者进行X光拍摄时,或者在进行不正确的X光曝光技术或不适当的图像预处理操作时(例如通过计算机X线摄影系统或激光扫描仪)。本文介绍了一种自动进行亮度和对比度调整的方法,以选择性地增强软组织或致密组织。该方法减少了观察者的交互,并提高了显示的图像质量。该算法分析胸部X光片的灰度直方图,并确定分隔患者外部区域(背景)、放射学上的软组织和放射学上的致密组织的断点。根据这些断点,生成一系列分段线性查找表(LUT),以选择性地增强软组织或致密组织。这是通过以下方式实现的:(1)改变患者背景中的对比度以达到所需的整体亮度,(2)选择性地增加感兴趣的组织区域的对比度,以及(3)降低或保持其余区域的对比度。生成的LUT通过视频显示器应用于原始图像。

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