Performance evaluation of contrast-detail in full field digital mammography systems using ideal (Hotelling) observer vs. conventional automated analysis of CDMAM images for quality control of contrast-detail characteristics

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
Ioannis DelakisEugenia Kulama

Abstract

The purpose of this work was to evaluate the contrast-detail performance of full field digital mammography (FFDM) systems using ideal (Hotelling) observer Signal-to-Noise Ratio (SNR) methodology and ascertain whether it can be considered an alternative to the conventional, automated analysis of CDMAM phantom images. Five FFDM units currently used in the national breast screening programme were evaluated, which differed with respect to age, detector, Automatic Exposure Control (AEC) and target/filter combination. Contrast-detail performance was analysed using CDMAM and ideal observer SNR methodology. The ideal observer SNR was calculated for input signal originating from gold discs of varying thicknesses and diameters, and then used to estimate the threshold gold thickness for each diameter as per CDMAM analysis. The variability of both methods and the dependence of CDMAM analysis on phantom manufacturing discrepancies also investigated. Results from both CDMAM and ideal observer methodologies were informative differentiators of FFDM systems' contrast-detail performance, displaying comparable patterns with respect to the FFDM systems' type and age. CDMAM results suggested higher threshold gold thickness values compared with the ...Continue Reading

References

Nov 1, 1993·Proceedings of the National Academy of Sciences of the United States of America·H H BarrettK J Myers
Sep 20, 2005·The New England Journal of Medicine·Etta D PisanoUNKNOWN Digital Mammographic Imaging Screening Trial (DMIST) Investigators Group
Feb 1, 1948·Journal of the Optical Society of America·A ROSE
Oct 6, 2010·Vision Research·Wilson S Geisler

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Citations

Jan 25, 2020·Current Medical Imaging Reviews·Rajendaran VairavanVithyacharan Retnasamy

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