Thickness Profiles of Retinal Layers by Optical Coherence Tomography Image Segmentation

American Journal of Ophthalmology

Volumn 146, Issue 5, 2008, Pages

  Bagci, Ahmet Murat ^a   Shahidi, Mahnaz ^b   Ansari, Rashid ^a   Blair, Michael ^b   Blair, Norman Paul ^b   Zelkha, Ruth ^b  

^a 1120 Science and Engineering Offices   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CONTROLLED STUDY; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; NERVE FIBER; NORMAL HUMAN; OPTICAL COHERENCE TOMOGRAPHY; PHOTORECEPTOR CELL; PRIORITY JOURNAL; RETINA; RETINA FOVEA; RETINA INNER PLEXIFORM LAYER; THICKNESS;

ADULT; AGED; ALGORITHMS; CROSS-SECTIONAL STUDIES; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MIDDLE AGED; PROSPECTIVE STUDIES; REFERENCE VALUES; RETINA; RETINAL GANGLION CELLS; SOFTWARE; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 54449084982     PISSN: 00029394     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ajo.2008.06.010     Document Type: Article

References (11)

1. Chan A., Duker J.S., Ishikawa H., Ko T.H., Schuman J.S., and Fujimoto J.G. Quantification of photoreceptor layer thickness in normal eyes using optical coherence tomography. Retina 26 (2006) 655-660
2. Ishikawa H., Stein D.M., Wollstein G., Beaton S., Fujimoto J.G., and Schuman J.S. Macular segmentation with optical coherence tomography. Invest Ophthalmol Vis Sci 46 (2005) 2012-2017
3. Koozekanani D., Boyer K., and Roberts C. Retinal thickness measurements from optical coherence tomography using a Markov boundary model. IEEE Trans Med Imaging 20 (2001) 900-916
4. Boyer K.L., Herzog A., and Roberts C. Automatic recovery of the optic nerve head geometry in optical coherence tomography. IEEE Trans Med Imaging 25 (2006) 553-570
5. Mujat M., Chan R., Cense B., et al. Retinal nerve fiber layer thickness map determined from optical coherence tomography images. Optics Express 13 (2005) 9480-9491
6. Bagci A., Ansari R., and Shahidi M. A method for detection of retinal layers by optical coherence tomography image segmentation [conference proceedings]. IEEE/NLM Proc LISSA (2007) 144-147
7. Canny J. A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8 (1986) 679-698
8. Dempster A., Laird N., and Rubin D. Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc 39 (1977) 1-38
9. Bagci A., Ansari R., and Reynold W. Low-complexity implementation of non-subsampled directional filter banks using polyphase representations and generalized separable processing [conference proceedings]. IEEE Proc EIT (2007) 422-427
10. Shahidi M., Wang Z., and Zelkha R. Quantitative thickness measurement of retinal layers imaged by optical coherence tomography. Am J Ophthalmol 139 (2005) 1056-1061
11. Hoang Q.V., Linsenmeier R.A., Chung C.K., and Curcio C.A. Photoreceptor inner segments in monkey and human retina: mitochondrial density, optics, and regional variation. Vis Neurosci 19 (2002) 395-407