Abstract
Quality control for digital mammography should be objective, reproducible and applicable across different manufacturers’ systems and technologies. Ideally it should be possible to set clearly defined thresholds of acceptable behaviour that can be universally applied. Other works have proposed combining measurements of detector performance with an observer model and task function to calculate the detectability index d′. This work builds on those concepts by proposing a simple phantom design for measuring system performance from a single image, allowing the calculation of NEQ and d′ and including effects due to scatter and all noise sources. A second contrast-detail test-object is proposed for validation of the model using a 4AFC observer study design.
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© 2012 Springer-Verlag Berlin Heidelberg
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Bloomquist, A.K., Mainprize, J.G., Mawdsley, G.E., Yaffe, M.J. (2012). A Quality Control Framework Using Task-Based Detectability Measurements for Digital Mammography. In: Maidment, A.D.A., Bakic, P.R., Gavenonis, S. (eds) Breast Imaging. IWDM 2012. Lecture Notes in Computer Science, vol 7361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31271-7_26
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DOI: https://doi.org/10.1007/978-3-642-31271-7_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31270-0
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