Skip to main content

Quantification of Detection Probability of Microcalcifications at Increased Display Luminance Levels

  • Conference paper
Breast Imaging (IWDM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7361))

Included in the following conference series:

Abstract

Only 70-80% of breast cancer is detected in the screening environment. Detection of microcalcifications is generally incomplete and limits effectiveness of controlling breast cancer through early detection. Any advantage in detection of microcalcifications would be highly welcome. Anecdotal comments from practicing radiologists suggest that increased luminance provides one way to increase the detection of relevant microcalcifications. This paper aims to study the effect of increased display luminance on the detection probability of microcalcifications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pisano, E., Acharyya, S., Cole, E., Marques, H., Yaffe, M., Blevins, M., Conant, E., Hendrick, R., Baum, J., Fajardo, L.: Cancer Cases from ACRIN Digital Mammographic Imaging Screening Trial: Radiologist Analysis with Use of a Logistic Regression Model. Radiology 252, 348 (2009)

    Article  Google Scholar 

  2. D’Orsi, C.: Breast imaging reporting and data system, breast imaging atlas, 4th edn. American College of Radiology (2003)

    Google Scholar 

  3. Liberman, L., Abramson, A., Squires, F., Glassman, J., Morris, E., Dershaw, D.: The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories. American Journal of Roentgenology 171, 35–40 (1998)

    Google Scholar 

  4. Pisano, E., Britt, G., Lin, Y., Schell, M., Burns, C., Brown, M.: Factors affecting phantom scores at annual mammography facility inspections by the US Food and Drug Administration. Academic Radiology 8, 864–870 (2001)

    Article  Google Scholar 

  5. Martin, J., Moskowitz, M.: Breast cancer missed by mammography. American Journal of Roentgenology 132, 737–739 (1979)

    Google Scholar 

  6. Van Dijck, J., Verbeek, A., Hendriks, J., Holland, R.: The current detectability of breast cancer in a mammographic screening program. A review of the previous mammograms of interval and screening detected cancers. Cancer 72, 1933–1938 (1993)

    Article  Google Scholar 

  7. NEMA, Digital Imaging and Communications in Medicine (DICOM), Supplement 28: Grayscale standard display function (GSDF) (1998)

    Google Scholar 

  8. Barten, P.G.J.: PhD thesis Technical University of Eindhoven. Contrast sensitivity of the human eye and its effects on image quality (1999)

    Google Scholar 

  9. Nachmias, J.: On the psychometric function for contrast detection. Vision Research 21(2), 215–223 (1981)

    Article  Google Scholar 

  10. Wichmann, F.A., Hill, N.J.: The psychometric function: I. Fitting, sampling, and goodness of fit. Attention Perception and Psychophysics 63(8), 1293–1313 (2001)

    Google Scholar 

  11. Krupinski, E.A., Roehrig, H., Furukawa, T.: Influence of film and monitor display luminance on observer performance and visual search. Acad. Radiol. 6, 411–418 (1999)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kimpe, T.R.L., Xthona, A. (2012). Quantification of Detection Probability of Microcalcifications at Increased Display Luminance Levels. In: Maidment, A.D.A., Bakic, P.R., Gavenonis, S. (eds) Breast Imaging. IWDM 2012. Lecture Notes in Computer Science, vol 7361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31271-7_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31271-7_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31270-0

  • Online ISBN: 978-3-642-31271-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics