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-observer error. To overcome these problems a software program (CDCOM) is available to automatically read CDMAM images and can be used to predict the threshold contrast for a typical observer. The results of threshold contrast determination by a panel of 3 human observers was compared in this study to predicted human readings for different types of digital mammography system to determine whether this provides a viable method of automated quality control and comparison with existing European Guidelines.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Van Engen, R., Young, K.C., Bosmans, H., Thijssen, M.: The European protocol for the quality control of the physical and technical aspects of mammography screening. Part B: Digital mammography. In: European Guidelines for Breast Cancer Screening, 4th edn., European Commission, Luxembourg (2006) (in press and available in draft online at www.euref.org )
Bijkerk, K.R., Thijssen, M.A.O., Arnoldussen, Th.J.M.: Modification of the CDMAM contrast-detail phantom for image quality of Full Field Digital Mammography systems. In: Yaffe, M. (ed.) Proceedings of IWDM 2000, pp. 633–640. Medical Physics Publishing, Madison, WI, Toronto (2000)
Young, K.C., Johnson, B., Bosmans, H., Van Engen, R.: Development of minimum standards for image quality and dose in digital mammography. In: Proceedings of IWDM 2004, pp. 149–154 (2005)
Karssemeijer, N., Thijssen, M.A.O.: Determination of contrast-detail curves of mammography systems by automated image analysis. In: Digital Mammography 1996. Proceedings of the 3rd International Workshop on Digital Mammography, pp. 155–160 (1996)
Veldkamp, W.J.H., et al.: The value of scatter removal by a grid in full field digital mammography. Med. Phys. 30, 1712–1718 (2003)
Visser, R., Karssemeijer, N.: CDCOM Manual: software for automated readout of CDMAM 3.4 images. (note: CDCOM software, manual and sample images are posted at http://www.euref.org )
Fletcher-Heath, L., Van Metter, R.: Quantifying the performance of human and software CDMAM phantom image observers for the qualification of digital mammography systems. In: Proc SPIE Medical Imaging 2005: Physics of Medical Imaging, vol. 5745, pp. 486–498 (2005)
Young, K.C., Cook, J.J.H., Oduko, J.M., Bosmans, H.: Comparison of software and human observers in reading images of the CDMAM test object to assess digital mammography systems. In: Flynn, M.J., Hsieh, J. (eds.) Proceedings of SPIE Medical Imaging 2006, vol. 614206, pp. 1–13 (2006)
Dance, D.R., Skinner, C.L., Young, K.C., Beckett, J.R., Kotre, C.J.: Additional factors for the estimation of mean glandular breast dose using the UK mammography dosimetry protocol. Phys. Med. Biol. 45, 3225–3240 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Young, K.C., Cook, J.J.H., Oduko, J.M. (2006). Automated and Human Determination of Threshold Contrast for Digital Mammography Systems. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_37
Download citation
DOI: https://doi.org/10.1007/11783237_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35625-7
Online ISBN: 978-3-540-35627-1
eBook Packages: Computer ScienceComputer Science (R0)