Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems

Kenneth C. Young; Abdulaziz Alsager; Jennifer M. Oduko; Hilde Bosmans; Beatrijs Verbrugge; Tanya Geertse; Ruben van Engen

doi:10.1117/12.770571

18 March 2008 Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems

Kenneth C. Young, Abdulaziz Alsager, Jennifer M. Oduko, Hilde Bosmans, Beatrijs Verbrugge, Tanya Geertse, Ruben van Engen

Author Affiliations +

Proceedings Volume 6913, Medical Imaging 2008: Physics of Medical Imaging; 69131C (2008) https://doi.org/10.1117/12.770571
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

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.

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Kenneth C. Young, Abdulaziz Alsager, Jennifer M. Oduko, Hilde Bosmans, Beatrijs Verbrugge, Tanya Geertse, and Ruben van Engen "Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69131C (18 March 2008); https://doi.org/10.1117/12.770571

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