Abstract
We present an approach to detecting masses in temporal and bilateral (left-right) pairs of mammograms. Masses typically appear in a mammogram as well-defined, relatively bright regions. The converse is not true; by no means all relatively bright, circumscribed regions correspond to masses. Common to our approach to matching temporal and bilateral mammogram pairs is a representation of the nested structure of “salient” bright regions in a mammogram. The representation is described in Sections 2 and 3. In the case of temporal pairs, “salient” regions are extracted independently in two mammograms of the same breast, nominally the same view at two different times. Those that either appear in the later mammogram but not in the earlier one, or which have changed significantly between the two mammograms we seek to highlight. Similarly, in the case of matching bilateral pairs, salient regions that appear in only one of same-view left and right breast mammograms of the same patient, taken at approximately the same time we seek to highlight. A fuller version of this article appears as Chapter 13 of [4].
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
F. Bookstein. Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans. Patt. Anal. and Mach. Intell., 11:567–585, 1989.
N. J. Cerneaz and J. M. Brady. Finding curvilinear structures in mammograms. In N. Ayache, editor, First International conference on computer vision, virtual reality and robotics in medicine, CVRMed’95, Lecture Notes in Computer Science, pages 372–382, Nice, France, April 1995 1995. Springer-Verlag.
R. Guissin and J. M. Brady. Iso-intensity contours for edge detection. Technical Report OUEL 1935/92, Department of Engineering Science, Oxford University, Parks Road, Oxford, 0X1 3PJ, UK, 1992.
R. P. Highnam and J. M. Brady. Mammographic image processing (In Preparation). Kluwer International, 1998.
R. P. Highnam, B. J. Shepstone, and J. M. Brady. Mammograms at different compressions for the detection of breast cancer. In Symposium Mammographicum, Imperial College, London, 1992.
C. Kimme, B. O’Loughlin, and J. Sklansky. Automatic detection of suspicious abnormalities in breast radiographs. In T. L. Kunii A. Klinger, K. S. Fu, editor, Data Structures, Computer Graphics and Pattern Recognition, pages 427–447. Academic Press, New York, 1977.
T. Lindeberg. Detecting salient blob-like image structures and their scales with a scale-space primal sketch. Int. Journal of Computer Vision, 11:283–318, 1993.
P. Miller and S. Astley. Automated detection of mammographic asymmetry using anatomical features. Int. J. of Pattern Recognition and Artificial Intelligence, 7:1461–1476, 1993.
R. Novak. Transformation of the female breast during compression at mammography with special reference to the importance for localization of a lesion. PhD thesis, Department of Diagnostic Radiology at Lakarhuset and Karolinska Sjukhuset, Sweden, 1989. Acta Radiologica Supplement 371.
N. Vujovic, P. Bakic, and D. Bzrakovic. Detection of potentially cancerous signs by mammogram follow up. In K. Doi, M. L. Giger, R. M. Nishikawa, and R. A. Schmidt, editors, Digital Mammography 96, Chicago, June 1996. Elsevier Science B.V.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Kok-Wiles, SL., Brady, M., Highnam, R. (1998). Comparing Mammogram Pairs for the Detection of Lesions. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds) Digital Mammography. Computational Imaging and Vision, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5318-8_17
Download citation
DOI: https://doi.org/10.1007/978-94-011-5318-8_17
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6234-3
Online ISBN: 978-94-011-5318-8
eBook Packages: Springer Book Archive