Nothing Special   »   [go: up one dir, main page]

Skip to main content

Development of Computer Techniques Designed to Aid Tests of Digital Mammography Systems Quality Evaluation with the Phantom CDMAM 3.4

  • 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:

  • 2750 Accesses

Abstract

Image quality in digital mammography can be achieved by conducting periodic tests. It is recommended that some quality parameters be measured from images acquired by exposing specific phantoms, as CDMAM 3.4, in such systems. Whereas this task is hard-working and time consuming, this study has attempted to develop and compare two computational methods in order to assist the technical professional in performing the tests with such phantom images, reducing the subjectivity due to the observers. Tests used 27 phantom images obtained from six different digital mammography systems – five CR-type and one DR-type. Both methods proved to be effective in detecting structures. However, the first one allowed the complete image processing and not just a region of interest, which makes it quite advantageous.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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.

Similar content being viewed by others

References

  1. Bijker, K.R., Thijssen, M.A.O., Arnoldussen, T.J.M.: Manual of CDMAM-phantom type 3.4. University Medical Centre Nijmegen, St. Radboud (2002)

    Google Scholar 

  2. Perry, N., Broeders, M., Wolf, C., Törnberg, S., Holland, R., Von Karsa, L.: European Guidelines for Quality Assurance in Mammography Screening and Diagnosis, 4th edn. European Communities, Luxembourg (2006)

    Google Scholar 

  3. Karssemeijer, N., Thijssen, M.A.O.: Determination of contrast-detail curves of mammography systems by automated image analysis. In: Proceedings of the 3rd International Workshop on Digital Mammography, pp. 155–160. Elsevier, Amsterdam (1996)

    Google Scholar 

  4. Hummel, et al.: Factors for conversion between human and automatic read-outs of CDMAM images. In: SPIE Medical Imaging 2011: Physics of Medical Imaging (2011)

    Google Scholar 

  5. Monnin, et al.: Image quality assessment in digital mammography: part II. NPWE as a validated alternative for contrast detail analysis. Phys. Med. Biol. 56, 4221–4238 (2011)

    Article  Google Scholar 

  6. Tseng, Huang: Automatic thresholding based on human visual perception. Image and Vision Computing 11(9) (1993)

    Google Scholar 

  7. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice Hall, New Jersey (2002)

    Google Scholar 

  8. Buchsbaum, G.: An analytical derivation of visual nonlinearity. IEEE Trans. Biomed. Engrg. 27, 237–242 (1980)

    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

Sousa, M.A.Z., Schiabel, H., Medeiros, R.B. (2012). Development of Computer Techniques Designed to Aid Tests of Digital Mammography Systems Quality Evaluation with the Phantom CDMAM 3.4. 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_64

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31271-7_64

  • 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