Table of Contents
ISRN Biomedical Imaging
Volume 2013 (2013), Article ID 589327, 6 pages
http://dx.doi.org/10.1155/2013/589327
Research Article

Postnatal Development of the Retina in Rats Exposed to Hyperoxia: A Fractal Analysis

1Clinic Emergency Hospital Cluj-Napoca, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
2Technical University of Cluj-Napoca, Faculty of Mechanical Engineering, Department of AET, Discipline of Descriptive Geometry and Engineering Graphics, 103-105 B-dul Muncii Street, 400641 Cluj-Napoca, Romania
3University of Agricultural Sciences and Veterinary Medicine, Faculty of Veterinary Medicine, Department of Cell Biology, Histology and Embriology, 3-5 Mănăştur Street, 400372 Cluj-Napoca, Romania
4“Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, Faculty of Medicine, Department of Physiology, 1 Clinicilor Street, 400006 Cluj-Napoca, Romania
5“Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, Faculty of Medicine, Department of Anatomy, Embryology, Ophthalmology, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania

Received 27 February 2013; Accepted 25 March 2013

Academic Editors: R. Tadeusiewicz and B. Zheng

Copyright © 2013 Anne Claudia Ştefănuţ et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. E. Cairns, “Normal development of the hyaloid and retinal vessels in the rat,” The British Journal of Ophthalmology, vol. 43, pp. 385–393, 1959. View at Google Scholar · View at Scopus
  2. A. Dorfman, O. Dembinska, S. Chemtob, and P. Lachapelle, “Early manifestations of postnatal hyperoxia on the retinal structure and function of the neonatal rat,” Investigative Ophthalmology and Visual Science, vol. 49, no. 1, pp. 458–466, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. B. Ricci, “Oxygen-induced retinopathy in the rat model,” Documenta Ophthalmologica, vol. 74, no. 3, pp. 171–177, 1990. View at Publisher · View at Google Scholar · View at Scopus
  4. A. C. Stefănuţ, V. Miclăuş, A. Mureşan et al., “Retinal neovascularization în newborn rats submitted to variations of concentrations of oxygen-histopathological aspects,” The Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, vol. 67, no. 1, pp. 305–315, 2010. View at Google Scholar
  5. S. D. Ţălu, Ophtalmologie—Cours, Medical Publishing House “Iuliu Haţieganu”, Cluj-Napoca, Romania, 2005.
  6. S. D. Ţălu, G. Zaharia, and G. Vasile, “Retinopathy of prematurity: screening and therapeutic indications,” Oftalmologia, vol. 49, no. 1, pp. 12–16, 2005. View at Google Scholar · View at Scopus
  7. G. Zaharia, S. D. Ţălu, A. C. Stefănuţ, C. Vlăduţiu, M. Popa, and L. K. Szbadi, “Assessment of retinopathy of prematurity,” Oftalmologia, vol. 51, no. 4, pp. 83–88, 2007. View at Google Scholar
  8. S. D. Ţălu, G. Zaharia, C. Vlăduţiu, A. C. Stefănuţ, and M. Popa, “Laser photocoagulation in retinopathy of prematurity-preliminary results,” Oftalmologia, vol. 52, no. 1, pp. 90–94, 2008. View at Google Scholar
  9. S. D. Ţălu, D. Cormos, G. Zaharia, A. C. Stefănuţ, M. Popa, and D. I. Lucaci, “Prognostic factors for laser treatment in retinopathy of prematurity,” Oftalmologia, vol. 55, no. 1, pp. 84–89, 2011. View at Google Scholar
  10. A. C. Stefănuţ, V. Miclăuş, A. Mureşan et al., “Retinal cyto-architectural anomalies of retinal development în oxygen-induced retinopathy in Wistar rats pups,” Annals of the Romanian Society for Cell Biology Cluj-Napoca, vol. 15, no. 1, pp. 166–174, 2010. View at Google Scholar
  11. V. Miclăuş, A. C. Stefănuţ, A. Mureşan, C. Ober, and V. Rus, “Comparative testing of some experimental models of oxygen induced retinopathy în young rats,” Histological Study, Iaşi, vol. 53, no. 12, pp. 107–115, 2010. View at Google Scholar
  12. A. C. Stefănuţ, Oxidative stress implications in the retinopathy of prematurity etiopathogenesis [Ph.D. thesis], “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania, 2011.
  13. I. S. Reljin and B. D. Reljin, “Fractal geometry and multifractals in analyzing and processing medical data and images,” Archive of Oncology, vol. 10, no. 4, pp. 283–293, 2002. View at Publisher · View at Google Scholar · View at Scopus
  14. “Fractals in biology and medicine,” in Mathematics and Bioscience in Interaction, G. A. Losa, D. Merlini, T. F. Nonnenmacher, and E. Weibel, Eds., vol. 4, Birkhäuser, Basel, Switzerland, 2005.
  15. Ş. Ţălu, “Mathematical methods used in monofractal and multifractal analysis for the processing of biological and medical data and images,” Animal Biology & Animal Husbandry, vol. 4, no. 1, pp. 1–4, 2012. View at Google Scholar
  16. Ş. Ţălu, “Texture analysis methods for the characterisation of biological and medical images,” Extreme Life, Biospeology & Astrobiology, vol. 4, no. 1, pp. 8–12, 2012. View at Google Scholar
  17. R. Lopes and N. Betrouni, “Fractal and multifractal analysis: a review,” Medical Image Analysis, vol. 13, no. 4, pp. 634–649, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. Ş. Ţălu and S. Giovanzana, “Fractal and multifractal analysis of human retinal vascular network: a review,” Human & Veterinary Medicine, vol. 3, no. 3, pp. 205–212, 2011. View at Google Scholar
  19. Ş. Ţălu, “Fractal analysis of normal retinal vascular network,” Oftalmologia, vol. 55, no. 4, pp. 11–16, 2011. View at Google Scholar
  20. Ş. Ţălu and S. Giovanzana, “Image analysis of the normal human retinal vasculature using fractal geometry,” Human & Veterinary Medicine, vol. 4, no. 1, pp. 14–18, 2012. View at Google Scholar
  21. Ş. Ţălu, “The influence of the retinal blood vessels segmentation algorithm on the monofractal dimension,” Oftalmologia, vol. 56, no. 3, pp. 73–83, 2012. View at Google Scholar
  22. Ş. Ţălu, “Multifractal characterization of human retinal blood vessels,” Oftalmologia, vol. 56, no. 2, pp. 63–71, 2012. View at Google Scholar
  23. K. Falconer, Fractal Geometry: Mathematical Foundations and Applications, John Wiley & Sons, Chichester, UK, 2nd edition, 2003.
  24. “Fundamentals of biomedical image processing,” in Biomedical Image Processing, T. M. Deserno, Ed., pp. 18–19, Springer, Berlin, Germany, 2011.
  25. “Image J software, version ImageJ 1.47d,” Wayne Rasband, National Institutes of Health, Bethesda, Md, USA, http://imagej.nih.gov/ij/.
  26. A. Karperien, “FracLac V 2.0f for Image J software,” Charles Sturt University, Victoria, Australia, http://rsbweb.nih.gov/ij/plugins/fraclac/FLHelp/Introduction.htm.
  27. “GraphPad InStat software, version 3.20,” GraphPad, San Diego, Calif, USA, http://www.graphpad.com/instat/instat.htm.