Abstract
A method is presented for including information from the preceeding mammogram in a scheme for automatically detecting malignant masses in screening mammograms. The method circumvents the inherent difficulty of registering temporal mammograms by replacing image registration by graph matching. The scheme incorporates a single image mass detection algorithm and so the contribution of the temporal analysis can be measured. At a true detection rate of 80 percent, the single image scheme results in 1.02 false positive detections per image while the temporal scheme results in 0.96 false positives. At 90 percent true detection, the false positive rates per image are 1.84 and 1.63 respectively.
This is a preview of subscription content, log in via an institution to check access.
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
Eltonsy, N.H., Tourassi, G.D., Elmaghraby, A.S.: A concentric morphology model for the detection of masses in mammography. IEEE Transactions on Medical Imaging 26(06), 880–889 (2007)
Hadjiiski, L., Sahiner, B., Chan, H.-P., Petrick, N., Helvie, M.A., Gurcan, M.: Analysis of temporal changes of mammographic features: Computer-aided classification of malignant and benign breast masses. Medical Physics 28(11), 2309–2317 (2001)
Hasegawa, A., Neemuchwala, H., Tsunoda-Shimizu, H., Honda, S., Shimura, K., Sato, M., Koyama, T., Kikuchi, M., Hiramatsu, S.: A tool for temporal comparison of mammograms: Image toggling and dense-tissue-preserving registration. In: Krupinski, E.A. (ed.) IWDM 2008. LNCS, vol. 5116, pp. 447–454. Springer, Heidelberg (2008)
Hong, B.-W., Brady, M.: A topographic representation for mammogram segmentation. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2879, pp. 730–737. Springer, Heidelberg (2003)
Jolion, J.M., Montanvert, A.: The adaptive pyramid: A framework for 2d image analysis. Computer Vision, Graphics, and Image Processing 55(3), 339–348 (1992)
Krissinel, E.B., Henrick, K.: Common subgraph isomorphism detection by backtracking search. Softw. Pract. Exper. 34, 591–607 (2004)
Ma, F., Bajger, M., Bottema, M.J.: Temporal analysis of mammograms based on graph matching. In: Krupinski, E.A. (ed.) IWDM 2008. LNCS, vol. 5116, pp. 158–165. Springer, Heidelberg (2008)
Ma, F., Bajger, M., Bottema, M.J.: Automatic mass segmentation based on adaptive pyramid and sublevel set analysis. In: DICTA 2009, Melbourne, Australia. IEEE, Los Alamitos (2009)
Marias, K., Behrenbruch, C., Parbhoo, S., Seifalian, A., Brady, M.: A registration framework for the comparison of mammogram sequences. IEEE Transactions on Medical Image Analysis 24(6), 782–790 (2005)
Miyajima, K., Ralescu, A.: Spatial organization in 2d segmented images: Representation and recognition of primitive spatial relations. Fuzzy Sets and Systems 65(2-3), 225–236 (1994)
Richard, F.J.P., Cohen, L.D.: A new image registration technique with free boundary constraints: application to mammography. Computer Vision and Image Understanding 89, 166–196 (2003)
Sanay-Gopal, S., Chan, H.-P., Wilson, T., Helvie, M., Petrick, N., Sahiner, B.: A regional registration technique for automated interval change analysis of breast lesions on mammograms. Medical Physics 26(12), 2669–2679 (1999)
Shiffman, S., Rubin, G.D., Napel, S.: Medical image segmentation using analysis of isolable-contour maps. IEEE Transactions on Medical Imaging 19(11), 1064–1074 (2000)
Timp, S., Karssemeijer, N.: Interval change analysis to improve computer aided detection in mammography. Medical Image Analysis 10, 82–95 (2006)
van Engeland, S., Snoerten, P., Hendriks, J., Karssemeijer, N.: A comparison of methods for mammogram registration. IEEE Transactions on Medical Imaging 22(11), 1436–1444 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ma, F., Bajger, M., Williams, S., Bottema, M.J. (2010). Improved Detection of Cancer in Screening Mammograms by Temporal Comparison. In: MartÃ, J., Oliver, A., Freixenet, J., MartÃ, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_101
Download citation
DOI: https://doi.org/10.1007/978-3-642-13666-5_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13665-8
Online ISBN: 978-3-642-13666-5
eBook Packages: Computer ScienceComputer Science (R0)