Detection and phenotyping of retinal disease using AM-FM processing for feature extraction

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2008, Pages 659-663

  Agurto, Carla ^a   Murillo, Sergio ^a   Murray, Victor ^a   Pattichis, Marios ^a   Russell, Stephen ^b   Abramoff, Michael ^b   Soliz, Pete ^b,c  

^a University of New Mexico   (United States)

^b UNIVERSITY OF IOWA   (United States)

^c VisionQuest Biomedical   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING METHODS; DIFFERENT FREQUENCY; HEALTHY RETINAS; INSTANTANEOUS AMPLITUDE; INSTANTANEOUS FREQUENCY; MODULATION FREQUENCIES; OPERATING SYSTEMS; PARTIAL LEAST SQUARES; PHENOTYPING; RETINAL DISEASE; RISK LEVELS;

COMPUTER OPERATING SYSTEMS; ELECTRIC FREQUENCY MEASUREMENT; FEATURE EXTRACTION;

AMPLITUDE MODULATION;

EID: 70349669130     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2008.5074489     Document Type: Conference Paper

References (21)

1. M. D. Abramoff and M. S. A. Suttorp-Schulten, "Web-based screening for diabetic retinopathy in a primary care population: the eyecheck project," Telemed J E Health, vol. 11, no. 6, pp. 668-674, Dec 2005.
2. M. Larsen, J. Godt, N. Larsen, H. Lund-Andersen, A. K. Sjφlie, E. Agardh, H. Kalm, M. Grunkin, and D. R. Owens, "Automated detection of fundus photographic red lesions in diabetic retinopathy," Investigat. Opth &. Vis. Sci., vol. 44, no. 2, pp. 761-766, 2003.
3. M. Niemeijer, B. van Ginneken, S.R. Russel, M.S.A. Suttorp- Schulten, M.D. Abramoff, "Automated detection and differentiation of Drusen, exudates, and cotton-wool spots in digital color fundus photographs for early diagnosis of Diabetic Retinopathy", Investigat. Opth &. Vis. Sci., vol. 48, pp. 2260-2267, 2007.
4. M. Niemeijer , B. van Ginneken , J. J. Staal , M. S. A. Suttorp- Schulten and M. D. Abramoff "Automatic detection of red lesions in digital color fundus photographs," IEEE Trans. Med. Imag., vol. 24, pp. 584, May 2005.
5. A. Osareh, M. Mirmehdi, B. Thomas, and R. Markham, "Automated Identification of Diabetic Retinal Exudates in Digital Colour Images," British Journal of Opthalmology, vol. 87, pp. 1220-1223, 2003.
6. Alan D Fleming, Sam Philip, Keith A Goatman, Graeme J Williams, John A Olson and Peter F Sharp, "Automated detection of exudates for diabetic retinopathy screening," Phys. Med. Biol, vol. 52 pp. 7385-7396, 2007
7. 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. Res., vol. 29, no. 4, pp. 284-302, 1996.
8. J. Frame, P. E. Undrill, M. J. Cree, J. A. Olson, K. C. McHardy, P. F. Sharp, and J. V. Forrester, "A comparison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluorescein angiograms," Comput. Biol. Med., vol. 28, no. 3, pp. 225-238, 1998.
9. Ricci, E.; Perfetti, R., "Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification," IEEE Trans. On Medical Imaging, vol.26, no.10, pp.1357-1365, Oct. 2007.
10. J. J. Staal , M. D. Abramoff , 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, pp. 501-509, Apr. 2004.
11. T. Walter and J. C. Klein, "Segmentation of color fundus images of the human retina: Detection of the optic disc and the vascular tree using morphological techniques," in Medical Data Analysis, J. Crespo, V. Maojo, and F. Martin, Eds. Berlin, Germany: Springer-Verlag, 2001, pp. 282-287. ser. Lecture Notes in Computer Science.
12. D. Vallabha, R. Dorairaj, K. Namuduri and H. Thompson, "Automated detection and classification of vascular abnormalities in diabetic retinopathy," in Proc. 38th Asilomar Conf. on Signals, Systems and Computers, vol.2, no. 7-10, pp. 1625-1629, Nov. 2004.
13. G. Quellec, M. Lamard, P.M. Josselin, G. Cazuguel, B. Cochener and C. Roux, "Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs," IEEE Trans. On Medical Imaging, vol.27, no. 9, pp.1230-1241, Sept. 2008
14. M. Al-Rawi, M. Qutaishat and M. Arrar, "An improved matched filter for blood vessel detection of digital retinal images", Computers in Biology and Medicine, vol. 37, no. 2, pp. 262-267, 2007.
15. V. Murray, M.S. Pattichis M.S. and P. Soliz, "New AM-FM analysis methods for retinal image characterization", in Proc. 42nd Asilomar Conf. on Signals, Systems and Computers, 2008.
16. Victor Manuel Murray Herrera, "AM-FM methods for image and video processing," Ph.D. dissertation, University of New Mexico, September 2008.
17. M.S. Pattichis, C.S. Pattichis, M. Avraam, A.C. Bovik and K. Kyriacou, "AM-FM texture segmentation in electron microscopic muscle imaging," IEEE Trans. On Med. Imaging, vol. 19, no. 12, pp. 1253-1257, Dec. 2000.
18. M.S. Pattichis and A.C. Bovik, "Analyzing image flow by multidimensional frequency modulation," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 29, no. 5, pp. 753-766, 2007.
19. V. Murray, S.E. Murillo, M.S. Pattichis, C.P. Loizou, C.S.. Pattichis, E. Kyriacou, A. Nicolaides, "An AM-FM model for Motion Estimation in Atherosclerotic Plaque Videos," in Proc. 41st Asilomar Conf. on Signals, Systems and Computers, vol. 4, pp. 746-750, Nov. 2007.
20. P. Rodriguez, V., M.S. Pattichis and M.B. Goens, "M-mode echocardiography image and video segmentation based on am-fm demodulation techniques," in Proc. 25th Conf. of IEEE Engineering in Medicine and Biology Society, vol.2, pp. 1176-1179, Sept. 2003.
21. TECHNO-VISION Project, "MESSIDOR: methods to evaluate segmentation and indexing techniques in the field of retinal ophthalmology." [Online]. Available: http://messidor.crihan.fr/.