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Comparison of Experimental and Theoretical Assessments of Detail Visibility in Digital Mammography

  • David R Dance
  • Roger A Hunt
  • Anthony M Sajewicz
  • Walter Huda
  • Kent M Ogden
  • Michael Sandborg
  • Gudrun Alm Carlsson
Conference paper

Abstract

An experimental and modelling study is being made of the influence of tube voltage, target material and exposure on the performance of digital mammography systems. Digital images of the ACR accreditation phantom at 80 mAs, 25–32 kV and at 28 kV, 5–500 mAs were read by eight observers, and the numbers of fibres, specks and masses visible determined. The computer model simulates photon transport through phantom, anti-scatter grid and image receptor. It calculates image pixels and the signal-to-noise ratio per pixel (SNR) for the phantom details. For exposures below 100 mAs, the numbers of fibres and masses visualised were found to be consistent with a constant SNR threshold for detection. For the visualisation of specks, the product of SNR and speck area was approximately constant. At higher mAs, the number of objects visualised was little influenced by exposure, due to the limited dynamic range of the phantom. The results validate the use of computational models to predict performance for simple detection tasks against a uniform background.

Keywords

Tube Voltage Digital Mammography Image Receptor Detail Visibility Limited Dynamic Range 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Huda, W., Sajewicz, A.M., Ogden K.M., Scalzetti, E.M., Dance, D.R.: How good is the ACR accreditation phantom for assessing image quality in digital mammography? Acad Radiol. (2002) In pressGoogle Scholar
  2. 2.
    Dance, D. R., Thilander-Klang, A., Sandborg, M., Skinner, C. L., Castellano Smith, I., and Alm Carlsson, G.: Influence of anode/filter material and tube potential on contrast, signal- to-noise ratio and average absorbed dose in mammography: a Monte Carlo study Br J Radiology 73 (2000) 1056–1067Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • David R Dance
    • 1
  • Roger A Hunt
    • 1
  • Anthony M Sajewicz
    • 2
  • Walter Huda
    • 2
  • Kent M Ogden
    • 2
  • Michael Sandborg
    • 3
  • Gudrun Alm Carlsson
    • 3
  1. 1.Joint Department of PhysicsThe Royal Marsden NHS TrustLondonUK
  2. 2.Department of RadiologySUNY Upstate Medical UniversitySyracuseUSA
  3. 3.Department of Radiation PhysicsIMVFaculty of Health ScienceLinköping UniversityLINKÖPINGSweden

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