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Proceedings Paper

Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems
Author(s): Kenneth C. Young; Abdulaziz Alsager; Jennifer M. Oduko; Hilde Bosmans; Beatrijs Verbrugge; Tanya Geertse; Ruben van Engen
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Paper 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.

Paper Details

Date Published: 18 March 2008
PDF: 11 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69131C (18 March 2008); doi: 10.1117/12.770571
Show Author Affiliations
Kenneth C. Young, Royal Surrey County Hospital (United Kingdom)
Abdulaziz Alsager, Royal Surrey County Hospital (United Kingdom)
Jennifer M. Oduko, Royal Surrey County Hospital (United Kingdom)
Hilde Bosmans, UZ Gasthuisberg (Belgium)
Beatrijs Verbrugge, UZ Gasthuisberg (Belgium)
Tanya Geertse, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Ruben van Engen, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)


Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)

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