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Evaluation of Texture Features for Analysis of Ovarian Follicular Development

  • Na Bian
  • Mark. G. Eramian
  • Roger A. Pierson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)

Abstract

We examined the echotexture in ultrasonographic images of the wall of dominant ovulatory follicles in women during natural menstrual cycles and dominant anovulatory follicles which developed in women using oral contraceptives (OC). Ovarian follicles in women are fluid-filled structures in the ovary that contain oocytes (eggs). Dominant follicles are physiologically selected for preferential development and ovulation. Statistically significant differences between the two classes of follicles were observed for two co-occurrence matrix derived texture features and two edge-frequency based texture features which allowed accurate distinction of healthy and atretic follicles of similar diameters. Trend analysis revealed consistent turning points in time series of texture features between 3 and 4 days prior to ovulation coinciding with the time at which follicles are being biologically “prepared” for ovulation.

Keywords

Edge Density Natural Cycle Dominant Follicle Atretic Follicle Edge Contrast 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Baerwald, A.R., Adams, G.P., Pierson, R.A.: Characterization of ovarian follicular wave dynamics in women. Biology of Reproduction 69(1), 1023–1031 (2003)CrossRefGoogle Scholar
  2. 2.
    Baerwald, A.R., Olatunbosun, O.A., Pierson, R.A.: Ovarian follicular waves are initiated during the hormone free interval in women using oral contracption. Contraception 70(5), 371–377 (2004)CrossRefGoogle Scholar
  3. 3.
    Baerwald, A.R., Pierson, R.A.: Ovarian follicular development during the use of oral contraception: A review. Journal of Obstetrics and Gynaecology Canada 26(1), 19–24 (2004)Google Scholar
  4. 4.
    Basset, O., Sun, Z., Mestas, J.L., Gimenez, G.: Texture analysis of ultrasonic images of the prostate by means of co-occurrence matrices. Ultrasonic Imaging 15, 218–237 (1993)CrossRefGoogle Scholar
  5. 5.
    Broome, M., Clayton, J., Fotherby, K.: Enlarged follicles in women using oral contraceptives. Contraception 52, 13–16 (1995)CrossRefGoogle Scholar
  6. 6.
    Crosignani, P.G., Testa, G., Vegetti, W., Parazzini, F.: Ovarian activity during regular oral contraceptive use. Contraception 24(5), 271–273 (1996)CrossRefGoogle Scholar
  7. 7.
    Georgescu, B., Christoudias, C.M.: Code for the edge detection and image segmentation system, http://www.caip.rutgers.edu/riul/research/code/~EDISON/index.html
  8. 8.
    Haralick, R.M., Shanmugam, K.: Textural feature for image classification. IEEE Transactions On Systems, Man, And Cybernetics SMC–3(6), 610–619 (1980)MathSciNetGoogle Scholar
  9. 9.
    Johnson, N.L., Read, C.B., Kotz, S.: Encyclopedia of Statistical Sciences. Wiley, New York (1981)Google Scholar
  10. 10.
    Laws, K.I.: Texture energy measures. In: Proc.Image Understanding Workshop, pp. 41–51 (1979)Google Scholar
  11. 11.
    Renier, M.A., Vereechen, A., Herck, E.V., Straetmans, D., Ramaekers, P., Vanderheyden, J., Degezelle, H., Buytaert, P.: Dimeric inhibin serum values as markers of ovarian activity in pill-free intervals. Contraception 57(1), 45–48 (1998)CrossRefGoogle Scholar
  12. 12.
    Seber, G.A.F.: Multivariate Observations. Wiley Series in Probability and Mathematical Statistics. Wiley, Chichester (1984)zbMATHCrossRefGoogle Scholar
  13. 13.
    Sneyers, R.: On the statistical analysis of series of observations. Technical note, World Meteorological Organization Technical Note (1990)Google Scholar
  14. 14.
    Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis and Machine Vision, ch. 14, 2nd edn., pp. 653–656. Brooks/Cole, A Division of Thomson Asia Pte Led, USA (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Na Bian
    • 1
  • Mark. G. Eramian
    • 1
  • Roger A. Pierson
    • 2
  1. 1.Department of Computer ScienceUniversity of Saskatchewan 
  2. 2.Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of Saskatchewan 

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