Simulation of images of CDMAM phantom and the estimation of measurement uncertainties of threshold gold thickness.

Phys Med

National Coordinating Centre for the Physics in Mammography (NCCPM), Level B, St Luke's Wing, Royal Surrey County Hospital, Guildford GU2 7XX, UK; Department of Physics, University of Surrey, Guildford GU2 7XH, UK. Electronic address:

Published: July 2017

AI Article Synopsis

  • The study aims to simulate mammography images of the CDMAM phantom and analyze the coefficient of variation (CoV) in threshold gold thickness measurements.
  • The method involved characterizing noise and sharpness in two mammography systems, validating the simulation against real images, and assessing CoVs using various image sets.
  • Results indicated no significant differences between real and simulated images for threshold thickness, though CoV varied, especially for details near the phantom's edges; implications for European guidelines on mammography detail are highlighted.

Article Abstract

Purpose: To demonstrate a method of simulating mammography images of the CDMAM phantom and to investigate the coefficient of variation (CoV) in the threshold gold thickness (t) measurements associated with use of the phantom.

Methods: The noise and sharpness of Hologic Dimensions and GE Essential mammography systems were characterized to provide data for the simulation. The simulation method was validated by comparing the t results of real and simulated images of the CDMAM phantom for three different doses and the two systems. The detection matrices produced from each of 64 images using CDCOM software were randomly resampled to create 512 sets of 8, 16 and 32 images to estimate the CoV of t. Sets of simulated images for a range of doses were used to estimate the CoVs for a range of diameters and threshold thicknesses.

Results: No significant differences were found for t or the CoV between real and simulated CDMAM images. It was shown that resampling from 256 images was required for estimating the CoV. The CoV was around 4% using 16 images for most of the phantom but is over double that for details near the edge of the phantom.

Conclusions: We have demonstrated a method to simulate images of the CDMAM phantom for different systems at a range of doses. We provide data for calculating uncertainties in t. Any future review of the European guidelines should take into consideration the calculated uncertainties for the 0.1mm detail.

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Source
http://dx.doi.org/10.1016/j.ejmp.2017.06.019DOI Listing

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