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Review on Fundus Image Acquisition Techniques with Data base Reference to Retinal Abnormalities in Diabetic Retinopathy

by Kade Mahesh K, Kashid Nilesh S
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 8
Year of Publication: 2013
Authors: Kade Mahesh K, Kashid Nilesh S
10.5120/11599-6962

Kade Mahesh K, Kashid Nilesh S . Review on Fundus Image Acquisition Techniques with Data base Reference to Retinal Abnormalities in Diabetic Retinopathy. International Journal of Computer Applications. 68, 8 ( April 2013), 17-27. DOI=10.5120/11599-6962

@article{ 10.5120/11599-6962,
author = { Kade Mahesh K, Kashid Nilesh S },
title = { Review on Fundus Image Acquisition Techniques with Data base Reference to Retinal Abnormalities in Diabetic Retinopathy },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 8 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number8/11599-6962/ },
doi = { 10.5120/11599-6962 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:16.629863+05:30
%A Kade Mahesh K
%A Kashid Nilesh S
%T Review on Fundus Image Acquisition Techniques with Data base Reference to Retinal Abnormalities in Diabetic Retinopathy
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 8
%P 17-27
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The purpose of this paper is to Provide the information regarding Diabetic retinopathy, its imaging methods and data base in systematic manner . In this paper we Introduce the terms related to Diabetic Retinopathy along with the characteristic and features of appearance in the images . In this paper we also discuss the various image acquisition techniques of retina from fundus photography to 3D OCT Imaging. lastly we also provide the list of the current data base available with the ground truth . In Diabetic retinopathy the blood vessel becomes weak and due to this vessel leaks blood and fluid of lipoproteins ,this creates abnormalaties in retina. Abnormal retinal images form four different classes namely non-proliferative diabetic retinopathy (NPDR), Central retinal vein occlusion (CRVO), Choroidal neovascularisation membrane (CNVM) and central serous retinopathy (CSR) . There may exist different kinds of abnormal lesions caused by diabetic retinopathy in a diabetic's eye. The lesion types are Microaneurysm, Hard Exudate, Soft Exudate, Hemorrhage, and Neovascularization.

References
  1. Tekes, national technology agency of Finland. Website (referenced 20th February2005). ttp://www. tekes. fi/eng/.
  2. Diabetesliitto: Perustietoa diabeteksestä. Website (referenced 3th February 2005). http://www. diabetes. fi/diabtiet/perus/perus2. htm(In Finnish).
  3. Jack J. Kanski. Clinical Ophthalmology: A Systematic Approach. Butterworth-Heinemann, 2003. ISBN 0-7506-5542-9.
  4. Effective Health Care - Complications of diabetes: Renal disease and promotion of self-management. Volume 6, number 1. Royal Society of Medicine Press, 2000. ISSN 0965-0288.
  5. Diabetesliitto: Tyypin 1 diabetes. Website (referenced 3th February 2005) http://www. diabetes. fi/diabtiet/perus/tyyppi1. htm(In Finnish).
  6. Diabetesliitto: Tyypin 2 diabetes. Website (referenced 3th February 2005). http://www. diabetes. fi/diabtiet/perus/tyyppi2. htm(In Finnish).
  7. Diabetesliitto: Diabetes Suomessa. Website (referenced 3th February 2005). http://www. diabetes. fi/diabtiet/tiedote/02/tutkijat. htm (In Finnish).
  8. Helsingin ja uudenmaan sairaanhoitopiiri: Yleistä diabetestyypeistä. Website (referenced 3th February 2005). http://www. hus. fi/default. asp?path=1;32;660;546;621;763;1193;5104 (In Finnish).
  9. Annele Eerola, Sirkku Kivisaari, Riikka Eela, and Mikko Rask. Ikääntyneiden itsenäistä suoriutumista tukeva teknologia. Eduskunnan kanslian julkaisu, 2001. (In Finnish).
  10. Effective Health Care - Complications of diabetes: Screening for retinopathy and Management of foot ulcers. Volume 5, number 4. Royal Society of Medicine Press,1999. ISSN 0965-0288.
  11. Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing, 2nd edition. Prentice Hall, 2002. ISBN 0-201-18075-8.
  12. John C. Russ. The Image Processing Handbook, 3rd edition, pages 196–197. CRC Press LLC and Springer-Verlag GmbH & Co. KG, 1999. ISBN 3-540-64747-3.
  13. Suomen Diabetesliitto ry. Diabetes ja silmänpohjamuutokset. Kirjapaino Hermes Oy, 1998. ISBN 951-9406-91-3. (In Finnish).
  14. Suomen Diabetesliiton retinopatiatyöryhmä. Diabeettinen retinopatia: Seuranta,hoito ja näkövammautuneen diabeetikon kuntoutus. Diabetes-lehden lääkäriliite, 1992. (In Finnish).
  15. Sight savers: The structure of the human eye. Website (referenced 9th February 2005). http://www. sightsavers. org. uk/html/eyeconditions/human_eye_detailed. htm.
  16. Wikipedia, the free encyclopedia. Website (referenced 9th February 2005). http://en. wikipedia. org/wiki/Main_Page.
  17. Lars B. Bäcklund. Early Diagnosis of Diabetic Retinopathy by Mass Examinations in Primary Health Care. PhD thesis, Karolinska Institutet, Sweden, 2000. ISBN 91-628-4224-2.
  18. Daniel E. Singer, David M. Nathan, Howard A. Fogel, and Andrew P. Schachat. Screening for diabetic retinopathy. Annals of Internal Medicine, 116:660–671, 1992.
  19. Retinopathy Working Party. A protocol for screening for diabetic retinopathy in europe. Diabetic Medicine, 8:263–267, 1991.
  20. D. Usher, M. Dumskyj, M. Himaga, T. H. Williamson, S. Nussey, and J. Boyce Automated detection of diabetic retinopathy in digital retinal images: a tool for diabetic retinopathy screening. Diabetes UK. Diabetic Medicine, 21:84–90, 2003.
  21. ThomasWalter, Jean-Claude Klein, Pascale Massin, and Ali Erginay. A contribution of image processing to the diagnosis of diabetic retinopathy - detection of exudates in color fundus images of the human retina. IEEE Transactions on Medical Imaging, 21:1236–1243, October 2002.
  22. Chanjira Sinthanayothin, Viravud Kongbunkiat, Suthee Phoojaruenchanachain, and Apichart Singlavanija. Automated screening system for diabetic retinopathy. In Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, pages 915–920, 2003.
  23. G. G. Gardner, D. Keating, T. H. Williamson, and A. T. Elliot. Automatic detection of diabetic retinopathy using an articial neural network: a screening tool. British Journal of Ophthalmology, 80:940–944, 1996.
  24. Bernhard M. Ege, Ole K. Hejlesen, Ole V. Larsen, Karina Moller, Barry Jennings,David Kerr, and David A. Cavan. Screening for diabetic retinopathy using computer based image analysis and statistical classification. Computer Methods and Programs in Biomedicine, 62:165–175, 2000.
  25. Huan Wang, Wynne Hsu, Kheng Guan Goh, and Mong Li Lee. An effective approach to detect lesions in color retinal images. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 181–187, South Carolina, USA, June 2000.
  26. Kheng Guan Goh, Wynne Hsu, Mong Li Lee, and Huan Wang. Adris: an automatic diabetic retinal image screening system. Medical Data Mining and Knowledge Discovery, pages 181–210, 2000.
  27. Huiqi Li and Opas Chutatape. Automated feature extraction in color retinal images by a model based approach. IEEE Transactions on Biomedical Engineering, 51:246–254, February 2004.
  28. Nicholas P. Ward, Stephen Tomlinson, and Christopher J. Taylor. Image analysis of fundus photographs. Ophthalmology, 96:80–86, January 1989.
  29. Russell Phillips, John Forrester, and Peter Sharp. Automated detection and quantification of retinal exudates. Graefe's Archive for Clinical and Experimental Ophthalmology, 231:90–94, 1993.
  30. Wynne Hsu, P. M. D. S. Pallawala, Mong Li Lee, and Kah-Guan Au Eong. The role of domain knowledge in the detection of retinal hard exudates. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 246–251, Kauai Marriott, Hawaii, December 2001.
  31. Alireza Osareh. Automated Identification of Diabetic Retinal Exudates and the Optic Disc. PhD thesis, Department of Computer Sciene, University of Bristol, 2004.
  32. Alireza Osareh, Majid Mirmehdi, Barry Thomas, and Richard Markham. Comparative exudate classification using support vector machines and neural networks. In 5th International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 413–420, Springer LNCS 2489, September 2002.
  33. B. Raman, E. S. Bursell, M. Wilson, G. Zamora, I. Benche, S. C. Nemeth, and P. Soliz. The effects of spatial resolution on an automated diabetic retinopathy screening system's performace in detection microaneurysms for diabetic retinopathy. In Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04), pages 128–133, Bethesda, Maryland, 2004.
  34. M. J. Cree, J. A. Olson, K. C. McHardy, J. V. Forrester, and P. F. Sharp. Automated microaneurysm detection. In IEEE International Conference on Image Processing, pages 699–702, Lausanne, Switzerland, 1996.
  35. Mohamed Kamel, Saeid Belkassim, Ana Maria Mendonca, and Aurélio Campilho. A neural network approach for the automatic detection of microaneurysms in retinal angiograms. In International Joint Conference on Neural Networks, pages 2695– 2699, Washington DC, 2001.
  36. Sherif Abdelazeem. Microaneurysm detection using vessel removal and circular hough transform. In Nineteenth National Radio Science Conference, pages 421– 426, Alexandria, Egypt, March 2002.
  37. Mohammed Hafez and Sherif Abdel Azeem. Using adaptive edge technique for detecting microaneurysms in fluorescein angiograms of the ocular fundus. In IEEE Melecon 2002, pages 479–483, Cairo, Egypt, May 2002.
  38. A. M. Mendonca, A. J. Campilho, and J. M. Nunes. Automatic segmentation of microaneurysmsin retinal angiograms of diabetic patients. In 10th International conference on Image analysis and processing, pages 728–733, Venice, Italy, September 1999.
  39. Zheng Liu, Chutatape Opas, and Shankar M. Krishnan. Automatic image analysis of fundus photograph. In Proceedings - 19th International Conference - IEEE/EMBS, pages 524–525, Chicago, IL, USA, October 1997.
  40. Gang Luo, Opas Chutatape, Huiqi Li, and Shankar M. Krishnan. Abnormality detection in automated mass screening system of diabetic retinopathy. In Fourteenth IEEE Symposium on Computer-Based Medical Systems, pages 132–137, Bethesda, Maryland, 2001.
  41. Huiqi Li and Opas Chutatape. A model-based approach for automated feature extraction in fundus images. In Ninth IEEE International Conference on Computer Vision Volume 1, pages 394–399, Nice, France, 2003.
  42. Chanjira Sinthanayothin, James F. Boyce, Helen L. Cook, and Thomas H. Williamson. Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images. Br J Ophthalmol, 83:902–910, 1999.
  43. Alireza Osareh, Majid Mirmehdi, Barry Thomas, and Richard Markham. Automatic recognition of exudative maculopathy using fuzzy C-means clustering and neural networks. In Medical Image Understanding and Analysis, pages 49–52, BMVA Press, July 2001.
  44. Alireza Osareh, Majid Mirmehdi, Barry Thomas, and Richard Markham. Classification and localisation of diabetic-related eye disease. In 7th European Conference on Computer Vision, pages 502–516, Springer LNCS 2353, May 2002.
  45. Timo Hellstedt, Eija Vesti, and Ilkka Immonen. Identification of individual microaneurysms:a comparison between fluorescein angiograms and red-free and colour photographs. Graefe's Archive for Clinical and Experimental Ophthalmology, 234:13–17, 1996.
  46. Joes Staal, Michael D. Abramoff, Meindert Niemeijer, Max A. Viergever, and Bram van Ginnesen. Ridge-based vessel segmentation in color images of the retina. IEEE Transactions on Medical Imaging, 23:501–509, April 2004.
  47. Michael D. Abràmoff, , Mona K. Garvin, Milan Sonka, Fellow Retinal Imaging and Image Analysis Clinical Applications Review ieee reviews in biomedical engineering, VOL. 3, 2010
  48. C. S. Flick, "Centenary of Babbage's ophthalmoscope," Optician, vol. 113, p. 246, 1947.
  49. C. R. Keeler, "150 years since Babbage's ophthalmoscope," Arch. Ophthalmol. ,vol. 115, pp. 1456–1457, 1997.
  50. D. S. Halacy, Charles Babbage, Father of the Computer. London,U. K. : Crowell-Collier Press, 1970.
  51. H. L. F. von Helmholtz, Beschreibung eines Augen-Spiegels. :A. Farstnerische Verlagsbuchhandlung, 1851.
  52. J. E. Purkinje, Beobachtungen und Versuche zur Physiologie der Sinne. Erstes Bandchen, Beitrage zur Kenntniss des Sehens in subjectiver Hinsicht. Prague, Austria: , 1823.
  53. O. Gerloff, "Uber die Photographie des Augenhintergrundes," KlinMonatsblätter Augenheilkunde, vol. 29, pp. 397–403, 1891
  54. A. Gullstrand, "Neue methoden der reflexlosen ophthalmoskopie Berichte Deutsche Ophthalmologische Gesellschaft, vol. 36, 1910.
  55. H. R. Novotny and D. L. Alvis, "A method of photographing fluorescence in circulating blood in the human retina," Circulation, vol. 24,pp. 82–86, 1961.
  56. L. Allen, "Ocular fundus photography: Suggestions for achieving consistently good pictures and instructions for stereoscopic photography,"Amer. J. Ophthalmol. , vol. 57, pp. 13–28, 1964.
  57. R. H. Webb and G. W. Hughes, "Scanning laser ophthalmoscope," IEEE Trans. Biomed. Eng. , vol. 28, no. 4, pp. 488–492, Apr. 1981.
  58. D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, and J. G. Fujimoto, "Optical coherence tomography," Science, vol. 254, no. 5035, pp. 1178–1181, Nov. 1991.
  59. M. E. J. van Velthoven, D. J. Faber, F. D. Verbraak, T. G. van Leeuwen, and M. D. de Smet, "Recent developments in optical coherence tomography for imaging the retina," Prog. Retina Eye Res. , vol. 26, no. 1, pp. 57–77, Jan. 2007.
  60. M. Matsui, T. Tashiro, K. Matsumoto, and S. Yamamoto, "A study on automatic and quantitative diagnosis of fundus photographs. I. Detection of contour line of retinal blood vessel images on color fundus photographs (author's transl. )," Nippon Ganka Gakkai Zasshi, vol. 77, no8 8, pp. 907–918, 1973, [Online]. Available: PM:4594062
Index Terms

Computer Science
Information Sciences

Keywords

DiabeticRetinopathy Ground truth Fundus

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