18 March 2015 A comparison of mammographic systems for different breast thicknesses using model observer detectability
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Abstract
This work investigated image quality as a function of PMMA thickness on a variety of mammography systems. Image quality was quantified by calculating detectability (d’) using a non-prewhitening with eye filter model observer (NPWE) from routinely acquired quality control (QC) data of twelve digital radiography (DR) systems. The sample of systems included two mammography devices equipped with the Siemens PRIME upgrade and one system with the Claymount SmartBucky detector. The d’ data were calculated for a 0.1 and 0.25 mm diameter gold discs using images of homogeneous PMMA (thickness from 2 to 7 cm), all from the routinely performed AEC test. The GE Essential systems had the highest d’ values for low thicknesses and the lowest d’ values for high thicknesses. The Hologic Selenia Dimension systems had the most constant detectability curve, ensuring high d’ values at high thicknesses. This was achieved by increasing the mean glandular dose (MGD) at higher thicknesses compared to the other systems. The Siemens PRIME and the Claymount system detectability results were comparable to the standard FFDM systems. Mean glandular dose at 5, 6 and 7 cm PMMA and gold threshold thickness at 5 cm PMMA were also evaluated. The Claymount system had a high (but acceptable) threshold gold thickness (T) compared to the other systems. This was probably caused by the low dose at which this DR detector operates. Results of NPWE d’ and CDMAM analysis showed the same trends.
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Nelis Van Peteghem, Nelis Van Peteghem, Elena Salvagnini, Elena Salvagnini, Hilde Bosmans, Hilde Bosmans, Lesley Cockmartin, Lesley Cockmartin, Nicholas W. Marshall, Nicholas W. Marshall, } "A comparison of mammographic systems for different breast thicknesses using model observer detectability", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 941235 (18 March 2015); doi: 10.1117/12.2081865; https://doi.org/10.1117/12.2081865
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