Computer-aided Diagnosis of Retinopathy of Prematurity via Analysis of the Vascular Architecture in Retinal Fundus Images of Preterm Infants

Faraz Oloumi, Anna L. Ells, Rangaraj M. Rangayyan

2014

Abstract

Retinopathy of prematurity (ROP) is a disorder that affects the development of blood vessels in the retina of premature infants, and is the leading cause of preventable childhood blindness. The posterior signs that are indicative of the presence of ROP are the straightening of the major temporal arcade (MTA), a decrease in the angle of insertion of the MTA, and increased dilation and tortuosity of the arteriole and venular vessels. Because advanced ROP can progress rapidly in the first 8 to 12 weeks of life, prompt identification of high-risk features of the disease is critical to the management of the affected infants.

References

  1. Arcelli, C. and di Baja, G. S. (1996). Skeletons of planar patterns. In TY, K. and A, R., editors, Topological Algorithms for Digital Image Processing, volume 19 of Machine Intelligence and Pattern Recognition, pages 99-143. North-Holland, Amsterdam, The Netherlands.
  2. Chiang, M. F., Jiang, L., Gelman, R., Du, Y. E., and Flynn, J. T. (2007). Interexpert agreement of plus disease diagnosis in retinopathy of prematurity. Archives of Ophthalmology, 125(7):875-880.
  3. Cryotherapy for Retinopathy of Prematurity Cooperative Group (2001). Multicenter trial of cryotherapy for retinopathy of prematurity: Ophthalmological outcomes at 10 years. Archives of Ophthalmology, 119:1110-1118.
  4. Duda, R. O., Hart, P. E., and Stork, D. G. (2001). Pattern Classification. Wiley, New York, NY, 2nd edition.
  5. Efron, B. and Tibshirani, R. J. (1994). An Introduction to the Bootstrap - Monographs on Statistics & Applied Probability. Chapman and Hall/CRC, 1 edition.
  6. Ells, A. L. and MacKeen, L. D. (2008). Dynamic documentation of the evolution of retinopathy of prematurity in video format. Journal of American Association for Pediatric Ophthalmology and Strabismus, 12(4):349- 351.
  7. Fiorin, D. and Ruggeri, A. (2011). Computerized analysis of narrow-field ROP images for the assessment of vessel caliber and tortuosity. In Engineering in Medicine and Biology Society, 33rd Annual International Conference of the IEEE, pages 2622-2625, Boston, MA.
  8. Fleming, A. D., Goatman, K. A., Philip, S., Olson, J. A., and Sharp, P. (2007). Automatic detection of retinal anatomy to assist diabetic retinopathy screening. Physics in Medicine and Biology, 52:331-345.
  9. Foracchia, M., Grisan, E., and Ruggeri, A. (2004). Detection of optic disc in retinal images by means of a geometrical model of vessel structure. IEEE Transactions on Medical Imaging, 23(10):1189-1195.
  10. Gelman, R., Martinez-Perez, M. E., Vanderveen, D. K., Moskowitz, A., and Fulton, A. B. (2005). Diagnosis of plus disease in retinopathy of prematurity using retinal image multiscale analysis. Investigative Ophthalmology & Visual Science, 46(12):4734-4738.
  11. Goodman, S. N. (1999). Toward evidence-based medical statistics. 1: The p value fallacy. Annals of Internal Medicine, 130(12):995-1004.
  12. Heneghan, C., Flynn, J. T., O'Keefe, M., and Cahill, M. (2002). Characterization of changes in blood vessels width and tortuosity in retinopathy of prematurity using image analysis. Medical Image Analysis, 6(1):407-429.
  13. Hildebrand, P. L., Ells, A. L., and Ingram, A. D. (2009). The impact of telemedicine integration on resource use in the evaluation ROP ... analysis of the telemedicine for ROP in Calgary (TROPIC) database. Investigative Ophthalmology and Visual Sciences, 50:E-Abstract 3151.
  14. International Committee for the Classification of Retinopathy of Prematurity (2005). The international classification of retinopathy of prematurity revisited. Archives of Ophthalmology, 123:991-999.
  15. Kay, S. M. (1993). Least squares. In Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory, pages 219-286. Prentice Hall PTR.
  16. Li, H. and Chutatape, O. (2004). Automated feature extraction in color retinal images by a model based approach. IEEE Transactions on Biomedical Engineering, 51(2):246-254.
  17. Liu, K. Y., Smith, M. R., Fear, E. C., and Rangayyan, R. M. (2012). Evaluation and amelioration of computeraided diagnosis with artificial neural networks utilizing small-sized sample sets. Biomedical Signal Processing and Control, Online:8. In press.
  18. Metz, C. E. (1978). Basic principles of ROC analysis. Seminars in Nuclear Medicine, VIII(4):283-298.
  19. Oloumi, F., Rangayyan, R. M., and Ells, A. L. (2012a). A graphical user interface for measurement of temporal arcade angles in fundus images of the retina. In Canadian Conference on Electrical and Computer Engineering (CCECE), Proc. IEEE Canada 25th Annual, pages 4 on CD-ROM, Montreal, QC, Canada.
  20. Oloumi, F., Rangayyan, R. M., and Ells, A. L. (2012b). A graphical user interface for measurement of the openness of the retinal temporal arcade. In Medical Measurements and Applications (MeMeA), Proc. IEEE International Symposium on, pages 238-241, Budapest, Hungary.
  21. Oloumi, F., Rangayyan, R. M., and Ells, A. L. (2012c). Parabolic modeling of the major temporal arcade in retinal fundus images. IEEE Transactions on Instrumentation and Measurement (TIM), 61(7):1825- 1838.
  22. Oloumi, F., Rangayyan, R. M., and Ells, A. L. (2012d). Quantitative analysis of the openness of the major temporal arcade in retinal fundus images of retinopathy of prematurity. In The First International Conference on Emerging Research in Electronics, Computer Science and Technology, Leture Notes in Electrical Engineering, pages 829-842, Mandya, Karnataka, India. Springer, LNEE.
  23. Oloumi, F., Rangayyan, R. M., and Ells, A. L. (2013). Quantitative analysis of the major temporal arcade in retinal fundus images of preterm infants for detection of plus disease. In The 15th International Association of Science and Technology for Development (IASTED) Conference on Signal and Image Processing, Banff, Alberta, Canada.
  24. Otsu, N. (1979). A threshold selection method from graylevel histograms. IEEE Transactions on Systems, Man and Cybernetics, SMC-9:62-66.
  25. Peitgen, H. O., Jurgens, H., and Saupe, D. (2004). Chaos and Fractals: New Frontiers of Science. SpringerVerlag, New York, NY.
  26. Poletti, E., Grisan, E., and Ruggeri, A. (2012). Imagelevel tortuosity estimation in wide-field retinal images from infants with retinopathy of prematurity. In Engineering in Medicine and Biology Society, 34th Annual International Conference of the IEEE, pages 4958- 4961, San Diego, CA.
  27. Rangayyan, R. M. (2005). Biomedical Image Analysis. CRC, Boca Raton, FL.
  28. Rangayyan, R. M., Ayres, F. J., Oloumi, F., Oloumi, F., and Eshghzadeh-Zanjani, P. (April-June 2008). Detection of blood vessels in the retina with multiscale Gabor filters. Journal of Electronic Imaging, 17:023018:1- 7.
  29. Rangayyan, R. M., Zhu, X., Ayres, F. J., and Ells, A. L. (2010). Detection of the optic nerve head in fundus images of the retina with Gabor filters and phase portrait analysis. Journal of Digital Imaging, 23(4):438- 453.
  30. Rao, A. R. and Jain, R. C. (1992). Computerized flow field analysis: Oriented texture fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(7):693-709.
  31. Staal, J., Abràmoff, M. D., Niemeijer, M., Viergever, M. A., and van Ginneken, B. (2004). Ridge-based vessel segmentation in color images of the retina. IEEE Transactions on Medical Imaging, 23(4):501-509.
  32. Tobin, K. W., Chaum, E., Govindasamy, V., and Karnowski, T. P. (2007). Detection of anatomic structures in human retinal imagery. IEEE Transactions on Medical Imaging, 26(12):1729-1739.
  33. Wallace, D. K., Quinn, G. E., Freedman, S. F., and Chiang, M. F. (2008). Agreement among pediatric ophthalmologists in diagnosing plus and pre-plus disease in retinopathy of prematurity. Journal of American Association for Pediatric Ophthalmology and Strabismus, 12(4):352-356.
  34. Watzke, R. C., Robertson, J. E., Palmer, E. A., Wallace, P. R., Evans, M. S., and Soldevilla, J. E. D. (1990). Photographic grading in the retinopathy of prematurity cryotherapy trial. Archives of Ophthalmology, 108(7):950-955.
  35. Welfer, D., Scharcanski, J., Kitamura, C. M., Pizzol, M. M. D., Ludwig, L. W. B., and Marinho, D. R. (2010). Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach. Computers in Biology and Medicine, 40(2):124-137.
  36. Wilson, C. M., Cocker, K. D., Moseley, M. J., Paterson, C., Clay, S. T., Schulenburg, W. E., Mills, M. D., Ells, A. L., Parker, K. H., Quinn, G. E., Fielder, A. R., and Ng, J. (2008). Computerized analysis of retinal vessel width and tortuosity in premature infants. Investigative Ophthalmology and Visual Science, 49(1):3577- 3585.
  37. Wilson, C. M., Theodorou, M., Cocker, K. D., and Fielder, A. R. (2006). The temporal retinal vessel angle and infants born preterm. British Journal of Ophthalmology, 90:702-704.
  38. Wong, K., andA. L. Ells, J. N., Fielder, A. R., and Wilson, C. M. (2011). The temporal and nasal retinal arteriolar and venular angles in preterm infants. British Journal of Ophthalmology, 95(12):1723-1727.
  39. Ying, H. and Liu, J. C. (2010). Automated localization of macula-fovea area on retina images using blood vessel network topology. In Acoustics Speech and Signal Processing, IEEE International Conference on, pages 650-653.
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Paper Citation


in Harvard Style

Oloumi F., Rangayyan R. and Ells A. (2014). Computer-aided Diagnosis of Retinopathy of Prematurity via Analysis of the Vascular Architecture in Retinal Fundus Images of Preterm Infants . In Doctoral Consortium - DCVISIGRAPP, (VISIGRAPP 2014) ISBN Not Available, pages 58-66


in Bibtex Style

@conference{dcvisigrapp14,
author={Faraz Oloumi and Rangaraj M. Rangayyan and Anna L. Ells},
title={Computer-aided Diagnosis of Retinopathy of Prematurity via Analysis of the Vascular Architecture in Retinal Fundus Images of Preterm Infants},
booktitle={Doctoral Consortium - DCVISIGRAPP, (VISIGRAPP 2014)},
year={2014},
pages={58-66},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={Not Available},
}


in EndNote Style

TY - CONF
JO - Doctoral Consortium - DCVISIGRAPP, (VISIGRAPP 2014)
TI - Computer-aided Diagnosis of Retinopathy of Prematurity via Analysis of the Vascular Architecture in Retinal Fundus Images of Preterm Infants
SN - Not Available
AU - Oloumi F.
AU - Rangayyan R.
AU - Ells A.
PY - 2014
SP - 58
EP - 66
DO -