Abstract
A method that performs multiresolution enhancement, adaptive to breast components, for optimal visualization of the entire breast area is presented. The method includes an edge detection step to distinguish breast area from mammogram background and employs Gaussian mixture modeling to segment breast components (uncompressed fat, fat and dense). The original image is decomposed using a redundant discrete wavelet transform and magnitude coefficients corresponding to each breast component are linearly mapped for contrast enhancement. Coefficient mapping is controlled by a gain factor provided by the parameters of the modeled breast components. The processed image is derived by reconstruction of the modified wavelet coefficients. The algorithm is compared with two enhancement methods proposed for soft-copy display, in a dataset of 68 mammograms containing lesions. The proposed method demonstrates increased performance in accentuating lesions embedded in fatty or dense parenchyma, as well as in visualization of anatomical features in the entire breast area.
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References
Pisano, E.D., Cole, E.B., Hemminger, B.M., et al.: Image Processing Algorithms for Digital Mammography: A Pictorial Essay. RadioGraphics 20, 1479–1491 (2000)
Sivaramakrishna, R., Obuchowski, N.A., Chilcote, W.A., Cardenosa, G., Powell, K.A.: Comparing the Performance of Mammographic Enhancement Algorithms: A Preference Study. Am. J. Roentgenol. 175, 45–51 (2000)
Aylward, S.R., Hemminger, B.M., Pisano, E.D.: Mixture Modeling for Digital Mammogram Display and Analysis. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, A. (eds.) Digital Mammography Nijmegen, pp. 305–312. Kluwer Academic, Dordrecht, the Netherlands (1998)
McLachlan, G.J., Basford, K.E.: Mixture Models. Marcel Dekker Inc., New York (1988)
Ferrari, R.J., Rangayyan, R.M., Borges, R.A., Frere, A.F.: Segmentation of the Fibro-glandular Disc in Mammograms via Gaussian Mixture Modeling. Med. Biol. Eng. Comput. 42, 378–387 (2004)
Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum Likelihood from Incomplete Data via the EM algorithm. Journal of Royal Statistical Society Series B 39, 1–38 (1977)
Mallat, S., Zhong, S.: Characterization of Signals from Multiscale Edges. IEEE Trans. Pat. Anal. Machine Intell. 14, 710–732 (1992)
Shensa, M.J.: The Discrete Wavelet Transform: Wedding the “à trous” and Mallat algorithms. IEEE Trans. Signal Proc. 40, 2464–2482 (1992)
Heath, M., Bowyer, K., Kopans, D., Moore, R., Kegelmeyer, P.: The Digital Database for Screening Mammography. In: Proceedings of the 5th Int. Workshop on Digital Mammography, Toronto, Canada, pp. 212–218 (2000)
Skiadopoulos, S., Costaridou, L., Kalogeropoulou, C.P., Likaki, E., Livos, L., Panayiotakis, G.: Simulating the Mammographic Appearance of Circumscribed Lesions. Eur. Radiol. 13, 1137–1147 (2003)
Costaridou, L., Skiadopoulos, S., Sakellaropoulos, P., Likaki, E., Kalogeropoulou, C.P., Panayiotakis, G.: Evaluating the Effect of a Wavelet Enhancement Method in Characteri-zation of Simulated Lesions Embedded in Dense Breast Parenchyma. Eur. Radiol. 15, 1615–1622 (2005)
Rank, K., Lendl, M., Unbehauen, R.: Estimation of Image Noise Variance. IEEE Proc. Vis. Image Signal Proc. 146, 80–84 (1999)
Pisano, E.D., Zong, S., Hemminger, B.M., et al.: Contrast Limited Adaptive Histogram Equalization Image Processing to Improve the Detection of Simulated Spiculations in Dense Mammograms. J. Digit. Imaging 11, 193–200 (1998)
Sakellaropoulos, P., Costaridou, L., Panayiotakis, G.: A Wavelet-based Spatially Adaptive Method for Mammographic Contrast Enhancement. Phys. Med. Biol. 48, 787–803 (2003)
Costaridou, L., Sakellaropoulos, P., Skiadopoulos, S., Panayiotakis, G.: Locally Adaptive Wavelet Contrast Enhancement. In: Costaridou, L. (ed.) Medical Image Analysis Methods, pp. 225–257. Taylor & Francis Group LLC, CRC Press, Boca Raton (2005)
Sakellaropoulos, P., Costaridou, L., Panayiotakis, G.: An Image Visualization Tool in Mammography. Med. Inform. 24, 53–73 (1999)
Sakellaropoulos, P., Costaridou, L., Panayiotakis, G.: Using Component Technologies for Web Based Wavelet Enhanced Mammographic Image Visualization. Med. Inform. 25, 171–181 (2000)
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Skiadopoulos, S., Karahaliou, A., Sakellaropoulos, F., Panayiotakis, G., Costaridou, L. (2006). Breast Component Adaptive Wavelet Enhancement for Soft-Copy Display of Mammograms. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_74
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DOI: https://doi.org/10.1007/11783237_74
Publisher Name: Springer, Berlin, Heidelberg
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