Abstract
Task-based measures estimated by model observers may provide a more clinically relevant and objective way of assessing image quality and system performance for quality control of digital mammography. One approach is to calculate the required threshold thickness (t t) of a material necessary to render test objects just visible, using the detectability index (d´) calculated from measured system parameters and a non-prewhitening observer model incorporating an eye-filter and internal noise (NPWE). Our previous work developed methodology for simply measuring the parameters required to calculate d´ and t t using a NPWE model. Here we test the sensitivity of t t to changes in image quality by varying entrance exposure and by imaging with and without a grid. Calculated t t values are compared with those reported by automated analysis of CDMAM (TM) phantom images (CDCOM). Sensitivity to dose changes was seen, and good correlation was achieved between CDCOM and our model.
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Bloomquist, A.K., Mainprize, J.G., Hill, M., Yaffe, M.J. (2014). Threshold Target Thickness Calculated Using a Model Observer as a Quality Control Metric for Digital Mammography. In: Fujita, H., Hara, T., Muramatsu, C. (eds) Breast Imaging. IWDM 2014. Lecture Notes in Computer Science, vol 8539. Springer, Cham. https://doi.org/10.1007/978-3-319-07887-8_32
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DOI: https://doi.org/10.1007/978-3-319-07887-8_32
Publisher Name: Springer, Cham
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