Skip to main content
SpringerLink
Log in

A multiscale algorithm for segmenting calcifications from high-resolution mammographic specimen radiographs

  • SESSION 3B: Digital Imaging and Computer-Aided Diagnosis
  • Published:
Journal of Digital Imaging Aims and scope Submit manuscript

Abstract

We have developed a multiscale algorithm for segmenting breast calcifications from high-resolution specimen radiographs. The algorithm was evaluated using 152 mammographic regions of interest digitized at a 15-μm spatial resolution. The true-positive detection rate was approximately 97.4% with 0.67 false-positives per image, and the segmentation error of individual calcification particles was approximately 5%. The performance of the algorithm is highly satisfactory.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Yoshida H, Doi K, Nishikawa RM, et al: An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms. Acad Radiol 3:621–627, 1996

    Article  CAS  PubMed  Google Scholar 

  2. Karssemeijer N: Adaptive noise equalization and recognition of microcalcification clusters in mammograms. Int J Pattern Recogn Artif Intell 7:1357–1376, 1993

    Article  Google Scholar 

  3. Veldkamp WJH, Karssemeijer N: Improved correction for signal dependent noise applied to automatic detection of microcalcifications, in Karssemeijer N, Thijssen M, Hendriks J, et al (eds): Digital Mammography ’98. Nijmegen, Netherlands, Kluwer Academic, 1998, pp 169–176

    Google Scholar 

  4. Dengler J, Behrens S, Desaga JF: Segmentation of microcalcifications in mammograms. IEEE Trans Med Imaging 12:634–642, 1993

    Article  CAS  PubMed  Google Scholar 

  5. Näppi J: Computer-Assisted Diagnosis of Breast Calcifications. PhD thesis manuscript. Turku Centre for Computer Science, University of Turku, Turku, Finland, 2000

    Google Scholar 

  6. Jain AK: Fundamentals of Digital Image Processing. USA, Prentice Hall International, 1989

    Google Scholar 

  7. Shen L, Rangayyan RM, Desautels JEL: Application of shape analysis to mammographic calcifications. IEEE Trans Med Imaging 13:263–274, 1994

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Departments of Computer Science and Diagnostic Radiology, University of, Turku

    J. Näppi MSc & P. B. Dean

  2. Medical Imaging Center, University Central Hospital, Turku, Finland

    J. Näppi MSc & P. B. Dean

  3. Turku Centre for Computer Science, University of Turku, FIN-20520, Turku, Finland

    J. Näppi MSc & P. B. Dean

Authors
  1. J. Näppi MSc
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. B. Dean
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to J. Näppi MSc.

Additional information

Supported by research grants from Turku University Foundation and Yrjö Jahnsson Foundation. The Finnish Academy provided partial support.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Näppi, J., Dean, P.B. A multiscale algorithm for segmenting calcifications from high-resolution mammographic specimen radiographs. J Digit Imaging 13 (Suppl 1), 130–132 (2000). https://doi.org/10.1007/BF03167643

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03167643

Keywords

Search

Navigation