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Tytuł artykułu

Analysis of contours of tumor masses in mammograms by Higuchi’s fractal dimension

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We have tested a new method of assessment of mammographic images for medical diagnosis to differentiate between benign masses and malignant breast tumors. 2-D image is preprocessed to form l-D signature of the image contour and then its complexity is analyzed using the Higuchi's fractal dimension method. We prove that the Higuchi's fractal dimension, Df, is a good classifier enabling differentiation between malignant tumors and benign masses.
Twórcy
autor
autor
  • Nałęcz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, ul. Ks. Trojdena 4, 02-109 Warsaw, Poland, rstepien@ibib.waw.pl
Bibliografia
  • 1. Rangayyan R.M., El-Faramawy N.M., Desautels J.E.L., Alim O.A.: Measures of acutance and shape for classification of breast tumors. IEEE Trans. Med. Imag. 1997, 16(6), 799Y810.
  • 2. Mudigonda N.R., Rangayyan R.M., Desautels J.E.L.: Gradient and texture analysis for the classification of mammographic masses. IEEE Trans. Med. Imag. 2000, 19(10), 1032Y1043, 2000.
  • 3. Sahiner B.S., Chan H.P., Petrick N., Helvie M.A., Hadjiiski L.M.: Improvement of mammographic mass characterization using spiculation measures and morphological features. Med. Phys. 2001, 28(7), 1455Y1465.
  • 4. Mudigonda N.R., Rangayyan R.M., Desautels J.E.L.: Detection of breast masses in mammograms by density slicing and texture flow-field analysis. IEEE Trans. Med. Imag. 2001, 20(12), 1215Y 1227.
  • 5. Rangayyan R.M., Mudigonda N.R., Desautels J.E.L.: Boundary modelling and shape analysis methods for classification of mammographic masses. Med. Biol. Eng .Comput. 2000, 38, 487Y496.
  • 6. Shen L., Rangayyan R.M., Desautels J.E.L.: Detection and classification of mammographic calcifications. Int. J. Pattern Recogn. Artif. Intell. 1993, 7(6), 1403Y1416.
  • 7. Alto H., Rangayyan R.M., Desautels J.E.L.: Content-based retrieval and analysis of mammographic masses. J. Electron. Imaging 2005, 14(2),1Y17.
  • 8. Rangayyan R.M., Nguyen T.M.: Fractal Analysis of Contours of Breast Masses in Mammograms, J. Digit. Imag. 2007, 20, 3 (September), 223-237.
  • 9. Matsubara T., Fujita H., Kasai S., Goto M., Tani Y., Hara T., Endo T.: Development of new schemes for detection and analysis of mammographic masses. In: Proc. 1997 IASTED International Conference on Intelligent Information Systems (IIS' 97), Grand Bahama Island, Bahamas, December 1977, 63Y66.
  • 10. Pohlman S., Powell K.A., Obuchowski N.A., Chilcote W.A., Grundfest-Broniatowski S.: Quantitative classification of breast tumors in digitized mammograms. Med. Phys. 1996, 23(8), 1337Y1345.
  • 11. Dey P., Mohanty S.K.: Fractal dimensions of breast lesions on cytology smears. Diagn. Cytopathol. 2003, 29(2), 85Y86, 2003.
  • 12. Zheng L., Chan A.K.: An artificial intelligent algorithm for tumor detection in screening mammogram. IEEE Trans. Med. Imag. 2001, 20(7), 559Y567.
  • 13. Guo Q., Ruiz V., Shao J., Guo F.: A novel approach to mass abnormality detection in mammographic images. In: Proc. IASTED International Conference on Biomedical Engineering, Innsbruck, Austria, February 2005, 180Y185.
  • 14. Caldwell C.B., Stapleton S.J., Holdsworth D.W., Jong R.A., Weiser W.J., Cooke G., Yaffe M.J.: Characterization of mammographic parenchymal pattern by fractal dimension. Phys. Med. Biol. 1990, 35(2), 235Y247.
  • 15. Byng J.W., Boyd N.F., Fishell E., Jong R.A., Yaffe M.J.: Automated analysis of mammographic densities. Phys. Med. Biol. 1996, 41:909Y923.
  • 16. Mattfeldt T.: Spatial Pattern Analysis using Chaos Theory: A Nonlinear Deterministic Approach to the Histological Texture of Tumours. In: Losa G.A., Merlini D., Nonnenmacher T.F.,Weibel E.R. (Eds.): Fractals in Biology and Medicine 1997, Birkhäuser, Basel, Boston, Berlin Vol. II, 50-72.
  • 17. Klonowski W.: Signal and Image Analysis Using Chaos Theory and Fractal Geometry. Machine Graphics & Vision 2004, 9, 403-431.
  • 18. Higuchi T.: Approach to an irregular time series on the basis of the fractal theory. Physica D 1988, 31, 277-283.
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  • 22. Mandelbrot B.B.: How long is the coast of Britain? Statistical self-similarity and fractal, Dimension. Science 1967, 155, 636-638.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0065-0014
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