Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems
Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems
复制标题
用于读取 CDMAM 测试对象图像以评估数字乳腺 X 线摄影系统的软件评估
DOI：
10.1117/12.770571
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发表时间：
2008
影响因子：
1.8
通讯作者：
R. van Engen
中科院分区：
文献类型：
--
作者：
K. Young;A. Alsager;J. Oduko;H. Bosmans;B. Verbrugge;Tanya D. Geertse;R. van Engen
欧洲数字乳房X光检查质量控制指南根据人类观察者对CDMAM测试对象图像的读数，在阈值对比度方面规定了图像质量的最低和可达到的标准。然而，这是耗时的，并且具有很大的观测器间和观测器内误差。为了克服这些问题，可使用软件程序(CDCOM)自动读取CDMAM图像。经过进一步的分析，可以使用自动测量来预测典型观察者的阈值对比度。三个不同中心的人类观察者确定阈值对比度的结果与自动读数进行了比较。这些数据提供了一种使用自动阅读软件预测人类平均表现的方法。当分析8幅图像时，自动确定的门槛金厚度的变异系数约为4%，细节尺寸从0.2 mm到1.0 mm。当细节尺寸为0.1 mm时，变异系数约为10%。使用更多的图像改善了所有细节大小的重现性。改变体模设计可以极大地提高最小细节尺寸的重现性。更一致的模体结构也是可取的，因为测试的四个模体中有一个与其他三个有很大的不同。尽管有一些限制，但CDMAM图像的自动读取可以提供一种可重复使用的方法，用于根据欧洲指南评估数字乳房X光检查系统。
European Guidelines for quality control in digital mammography specify minimum and achievable standards of image quality in terms of threshold contrast, based on readings of images of the CDMAM test object by human observers. However this is time-consuming and has large inter- and intra-observer error. To overcome these problems a software program (CDCOM) is available to automatically read CDMAM images. After some further analysis the automated measurements can be used to predict the threshold contrast for a typical observer. The results of threshold contrast determination by human observers at three different centres were compared against automated readings. These data provide a means of predicting average human performance using the automated reading software. The coefficient of variation in automatically determined threshold gold thickness was about 4% for detail sizes from 0.2 to 1.0mm when 8 images were analysed. The coefficient of variation was about 10% at a detail size of 0.1mm. Using larger numbers of images improved reproducibility for all detail sizes. A change in phantom design could greatly improve reproducibility for the smallest detail sizes. Greater consistency of phantom construction would also be desirable as one of the four phantoms tested was significantly different from the other three. Despite some limitations automated reading of CDMAM images can provide a reproducible means of assessing digital mammography systems against European Guidelines.