Image quality assessment in retinal images of premature infants taken with RetCam 120 digital fundus camera

References

• Schwartz, S. D., Harrison, S. A., Ferrone, P. J. and Trese, M. T. Telemedical evaluation and management of retinopathy of prematurity using a fiberoptic digital fundus camera. Ophthalmology, 2000, 107, 25–28.
   PubMed Web of Science ®Google Scholar
• Roth, D. B., Morales D., Feuer, W. J., Hess, D., Johnson, R. A. and Flynn, J. T. Screening for retinopathy of prematurity employing the RetCam 120. Arch. Ophthalmol., 2001, 119, 268–272.
   PubMedGoogle Scholar
• Heneghan, C., Flynn, J., O’Keefe, M. et al. Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis. Med. Image Anal., 2002, 6, 407–429
   PubMed Web of Science ®Google Scholar
• Palmer, E. A., Flynn, J. T., Hardy, R. J. et al. Incidence and early course of retinopathy of prematurity. Ophthalmology, 1991, 108, 1408–1416.
   Google Scholar
• Joint Working Party of the Royal College of Ophthalmologists and British Association of Perinatal Medicine. Retinopathy of prematurity: guidelines for screening and treatment. Early Hum. Dev., 1996, 46, 239–258.
   PubMed Web of Science ®Google Scholar
• Capowski, J. J., Kylstra, J. A. and Freedman, S. F. A numeric index based on spatial frequency for the tortuosity of retinal vessels and its application to plus disease in retinopathy of prematurity. Retina, 1995, 15(6), 490–499.
   PubMed Web of Science ®Google Scholar
• Freedman, S. F., Kylstra, J. A., Capowski, J. J., Realini, T. D., Rich, C. and Hunt, D. Observer sensitivity to retinal vessel diameter and tortuosity in retinopathy of prematurity: a model system. J. Pediatr. Ophthalmol. Strabismus, 1996, 33, 248–254.
   PubMed Web of Science ®Google Scholar
• Wallace, D. K., Jomier, J., Aylward, S. T. and Landers, M. B. Computer-automated quantification of lus disease in retinopathy of prematurity. J. AAPOS, 2003, 7, 126–130.
   PubMed Web of Science ®Google Scholar
• Stewart, C. R., Cocker, K. D., Parker, K. H., Moseley, M. J. and Fielder, A. R. Semi-automated computer analysis of retinal vessels in infants with acute-phase retinopathy of prematurity. Br. J. Ophthalmol., 2003, 87, 1474–1477.
   PubMed Web of Science ®Google Scholar
• Cosman, P. C., Gray, R. M. and Olshen, R. J. Evaluating quality of compressed medical images: Snr subjective rating, and diagnostic accuracy. Proc. IEEE, 1994, 82(6), 919–932.
   Web of Science ®Google Scholar
• Damera-Venkata, N., Kite, T. D., Geisler, W. S., Evans, B. L. and Novik, A. C. Image quality assessment based on a degradation model. IEEE. Trans. Image Process., 2000, 9(4), 636–650.
   PubMed Web of Science ®Google Scholar
• Lee S. and Wang Y. Automatic retinal image quality assessment and enhancement. Proc. SPIE, 1999, 3661.
   Google Scholar
• Lalonde, M., Gagnon, L. and Boucher, M. C. Automatic visual quality assessment in optical fundus images. In Proceedings of Vision Interface 2001, Ottawa, 7–9 June 2001, pp. 259–264 (Academic Press, New York).
   Google Scholar
• Hartvig, N. V., Hansen, J. D. and Grunkin M. Quantification of fundus image quality. Abstracts of 2nd International Workshop on Computer Assisted Fundus Image Analysis, 5–7 October 2001, Copenhagen (available at http://www.cafia.org/cafia2001b/abstracts.html).
   Google Scholar
• Barman, S. A., Toniappa, A., Fielder, A. R. and Moseley, M. J. Application of an adaptive local contrast enhancement technique to retinal images of premature infants taken with the Retcam 120(TM) digital fundus camera. Invest. Ophthalmol. Vis. Sci., 2002, 43(12), E-abstract 1254.
   Google Scholar
• Press, W. H., Flannery, B. P., Teukolsky, S. A. and Vetterling, W. T. Numerical Recipes in C: the Art of Scientific Computing, 1992 (Cambridge University Press, Cambridge).
   Google Scholar
• Chaudhuri, S., Chaterjee, S., Katz, N., Nelson, M. and Goldbaum, M. Detection of blood vessels in retinal images using two dimensional matched filters. IEEE Trans. Med. Imag. , 1989, 8(3), 263–269.
   PubMed Web of Science ®Google Scholar
• Gozalez, R. C. and Woods, R. E. Digital Image Processing, 1992 (Addison Wesley, US).
   Google Scholar
• Toniappa, A., Barman, S. A., Moseley, M. J. and Fielder, A. R. Recognition and quantification of features in images taken of premature infants using the Retcam 120 digital fundus camera. In Photon 02—Institute of Physics Applied Optics and Opto-electronics Conference, 2–5 September 2002, Cardiff, pp. 38–39, ISBN/ISSN 0–7503–0916–4.
   Google Scholar
• Toniappa, A., Barman, S. A., Fielder, A. R. and Moseley, M. J. Optic disc recognition in images taken of premature infants using the Retcam 120(TM) digital fundus camera. Invest. Ophthalmol. Vis. Sci., 2002, 43(12 ), E-abstract 1253.
   Google Scholar