Multiscale AM-FM methods for diabetic retinopathy lesion detection

IEEE Transactions on Medical Imaging

Volumn 29, Issue 2, 2010, Pages 502-512

  Agurto, Carla ^a   Murray, Victor ^a   Barriga, Eduardo ^c   Murillo, Sergio ^a   Pattichis, Marios ^a   Davis, Herbert ^c   Russell, Stephen ^b   Abràmoff, Michael ^b   Soliz, Peter ^c  

^a University of New Mexico   (United States)

^b UNIVERSITY OF IOWA HOSPITALS AND CLINICS   (United States)

^c VisionQuest Biomedical   (United States)

Author keywords

Automatic screening; Diabetic retinopathy (DR); Multiscale amplitude modulation frequency modulation (AM FM) methods

Indexed keywords

AUTOMATIC SCREENING; CUMULATIVE DISTRIBUTION FUNCTION; DIABETIC RETINOPATHY; DIABETIC RETINOPATHY (DR); DISTANCE METRICS; FEATURE VECTORS; INSTANTANEOUS AMPLITUDE; INSTANTANEOUS FREQUENCY; LESION DETECTION; MICROANEURYSMS; MULTIPLE SCALE; MULTISCALES; NEOVASCULARIZATION; NORMAL VESSELS; REGION TYPES; RETINAL IMAGE; RETINAL STRUCTURE; STANDARD IMAGES; TEXTURE FEATURE VECTOR;

DISTRIBUTION FUNCTIONS; ELECTRIC FREQUENCY MEASUREMENT; EYE PROTECTION; IMAGE ENHANCEMENT; OPHTHALMOLOGY;

AMPLITUDE MODULATION;

ANEURYSM; ARTICLE; BLEEDING; COMPUTER ASSISTED DIAGNOSIS; DIABETIC RETINOPATHY; EXUDATE; FACTUAL DATABASE; HISTOLOGY; HUMAN; METHODOLOGY; NONPARAMETRIC TEST; PATHOLOGY; PHOTOGRAPHY; RETINA; RETINA BLOOD VESSEL; RETINA NEOVASCULARIZATION;

ANEURYSM; DATABASES, FACTUAL; DIABETIC RETINOPATHY; EXUDATES AND TRANSUDATES; HEMORRHAGE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PHOTOGRAPHY; RETINA; RETINAL NEOVASCULARIZATION; RETINAL VESSELS; STATISTICS, NONPARAMETRIC;

EID: 76249116685     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2037146     Document Type: Article

References (35)

1. M. Larsen et al., "Automated detection of fundus photographic red lesions in diabetic retinopathy, " Invest. Ophthalmol. Vis. Sci., vol.44, pp. 761-766, 2003. (Pubitemid 36159727)
2. M. Niemeijer, S. R. Russell, M. A. Suttorp, B. van Ginneken, and M. D. Abràmoff, "Automated detection and differentiation of drusen, ex-udates, and cotton-wool spots in digital color fundus photographs for early diagnosis of diabetic retinopathy, " Invest. Ophthalmol. Vis. Sci., vol.48, pp. 2260-2267, 2007.
3. M. Niemeijer, B. van Ginneken, J. Staal, M. S. A. Suttorp-Schulten, and M. D. Abràmoff, "Automatic detection of red lesions in digital color fundus photographs, " IEEE Trans. Med. Imag., vol.24, no.5, pp. 584-592, May 2005.
4. B. Sander et al., "Automatic detection of fundus photographic red lesions in diabetic retinopathy, " presented at the Assoc. Res. Vis. Oph-thalmol. Conf., Fort Lauderdale, FL, 2001, Poster 4338.
5. V. Murray, "AM-FM methods for image and video processing, " Ph. D. dissertation, Univ. New Mexico, Albuquerque, Sep. 2008.
6. A. Osareh, M. Mirmehdi, B. Thomas, and R. Markham, "Automated identification of diabetic retinal exudates in digital colour images, " Br. J. Ophthalmol., vol.87, pp. 1220-1223, 2003.
7. A. Osareh, M. Mirmehdi, B. Thomas, and R. Markham, "Classification and localisation of diabetic-related eye disease, " in Proc. 7th Eur. Conf. Comput. Vis., 2002, pp. 325-329.
8. T. Spencer, J. A. Olson, K. C. McHardy, P. F. Sharp, and J. V. Forrester, "An image-processing strategy for the segmentation and quantification of microaneurysms in fluorescein angiograms of the ocular fundus, " Comput. Biomed., vol.29, pp. 284-302, 1996.
9. A. Frame et al., "A comparison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluorescein angiograms, " Comput. Biol. Med., vol.28, pp. 225-238, 1998.
10. M. Niemeijer, B. van Ginneken, J. Staal, M. S. A. Suttorp-Schulten, and M. D. Abràmoff, "Automatic detection of red lesions in digital color fundus photographs, " IEEE Trans. Med. Imag., vol.24, no.5, pp. 584-592, May 2005.
11. A. D. Fleming, S. Philip, K. A. Goatman, G. J. Williams, J. A. Olson, and P. F. Sharp, "Automated detection of exudates for diabetic retinopathy screening, " Phys. Med. Biol., vol.52, pp. 7385-7396, 2007. (Pubitemid 350242846)
12. E. Ricci and R. Perfetti, "Retinal blood vessel segmentation using line operators and support vector classification, " IEEE Trans. Med. Imag., vol.26, no.10, pp. 1357-1365, Oct. 2007.
13. J. Staal, M. D. Abràmoff, M. Niemeijer, M. A. Viergever, and B. van Ginneken, "Ridge based vessel segmentation in color images of the retina, "IEEE Trans. Med. Imag., vol.23, no.4, pp. 501-509, Apr. 2004.
14. J. G. Leandro, R. M. Cesar, and H. Jelinek, "Blood vessels segmentation in retina: Preliminary assessment of the mathematical morphology and of the wavelet transform techniques, " in Proc. 14th Brazilian Symp. Comput. Graph. Image Process., SIBGRAPI IEEE Comput. Soc., 2001, pp. 84-90.
15. M. Niemeijer, S. R. Russell, M. A. Suttorp, B. Van Ginneken, and M. D. Abràmoff, "Automated detection and differentiation of drusen, ex-udates, and cotton-wool spots in digital color fundus photographs for early diagnosis of diabetic retinopathy, " Invest. Ophthalmol. Vis. Sci., vol.48, pp. 2260-2267, 2007.
16. L. Streeter and M. Cree, "Microanaeurysm detection in colour fundus images, " Image Vis. Comput., pp. 280-285, 2003.
17. H. J. Jelinek, M. J. Cree, D. Worsley, A. Luckie, and P. Nixon, "An automated microaneurysm detector as a tool for identification of diabetic retinopathy in rural optometric practice, " Clin. Exp. Optom., vol.89, pp. 299-305, 2006.
18. A. Sopharak and B. Uyyanonvara, "Automatic exudates detection from diabetic retinopathy retinal image using fuzzy c-means and morphological methods, " in Proc. 3rd IASTED Int. Conf. Adv. Comput. Sci. Technol., Phuket, Thailand, 2007, pp. 359-364.
19. T. Walter, J. C. Klein, P. Massin, and A. Erginay, "A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in colour fundus images of the human retina, " IEEE Trans. Med. Imag., vol.21, no.10, pp. 1236-1243, Oct. 2002.
20. D. Vallabha, R. Dorairaj, K. Namuduri, and H. Thompson, "Automated detection and classification of vascular abnormalities in diabetic retinopathy, " presented at the Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, 2004.
21. G. Quellec, M. Lamard, P. Josselin, and G. Cazuguel, "Optimal wavelet transform for the detection of microaneurysm in retina photographs, " IEEE Trans. Med. Imag., vol.27, no.9, pp. 1230-1241, Sep. 2008.
22. G. Quellec, M. Lamard, P. Josselin, G. Cazuguel, B. Cochener, and C. Roux, "Detection of lesions in retina photographs based on the wavelet transform, " in Proc. 28th IEEE EMBS Annu. Int. Conf., 2006, pp. 2618-2621.
23. M. Sofka and C. V. Stewart, "Retinal vessel extraction using multi-scale matched filters confidence and edge measures, " IEEE Trans. Med. Imag., vol.25, no.12, pp. 1531-1546, Dec. 2005.
24. M. Al-Rawi, M. Qutaishat, and M. Arrar, "An improved matched filter for blood vessel detection of digital retinal images, " Comput. Biol. Med., vol.37, no.2, pp. 262-267, 2007.
25. Fundus Photograph Reading Center Dept. Ophtalmol. Vis. Sci., Univ. Wisconsin, Madison
26. [Online]. Available: http://eyephoto. ophth. wisc. edu/ResearchAreas/ Diabetes/DiabStds. htm
27. M. S. Pattichis and A. C. Bovik, "Analyzing image structure by multidimensional frequency modulation, " IEEE Trans. Pattern Anal. Mach. Intell., vol.29, no.5, pp. 753-766, May 2007.
28. J. P. Havlicek, "AM-FM image models, " Ph. D. dissertation, Univ. Texas at Austin, Austin, 1996.
29. V. Murray, P. Rodriguez, and M. S. Pattichis, "Multi-scale AM-FM demodulation and reconstruction methods with improved accuracy, " IEEE Trans. Image Process., to be published.
30. MESSIDOR: Methods to evaluate segmentation and indexing techniques in the field of retinal ophthalmology TECHNO-VISION Project
31. [Online]. Available: http://messidor. crihan. fr/
32. M. D. Abràmoff, N. Meindert, M. A. Suttorp-Schulten, M. A. Viergever, S. R. Russell, and B. van Ginneken, "Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes, " Diabetes Care, vol.31, pp. 193-198, 2008.
33. S. C. E. T. Lee, Y. Wang, R. Klein, R. M. Kingsley, and A. Warn, "Computer classification of non-proliferative diabetic retinopathy, " Arch. Ophthalmol., vol.123, pp. 759-764, 2005.
34. C. I. Sánchez, R. Hornero, M. I. López, and J. Poza, "Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy, " in Proc. Int. Conf. IEEE Eng. Med. Biol. Soc., 2004, vol.3, pp. 1624-1627.
35. S. Philip, A. D. Fleming, K. A. Goatman, S. Fonseca, P. Mcnamee, G. S. Scotland, G. J. Prescott, P. F. Sharp, and J. A. Olson, "The efficacy of automated "disease/no disease" grading for diabetic retinopathy in a systematic screening programme, " Br. J. Ophthalmol., vol.91, pp. 1512-1517, 2007. (Pubitemid 350044057)