Minimising retinal vessel artefacts in optical coherence tomography images

Computer Methods and Programs in Biomedicine

Volumn 104, Issue 2, 2011, Pages 206-211

  Golzan, S Mojtaba ^a   Avolio, Alberto ^a   Graham, Stuart L ^a  

^a MACQUARIE UNIVERSITY   (Australia)

Author keywords

Active contour models; Optical coherence tomography; Retinal nerve fiber layer

Indexed keywords

ACTIVE CONTOUR MODEL; GERMANY; HEIDELBERG; INTENSITY DIFFERENCE; ORIGINAL IMAGES; PROCESSING PROCEDURES; REPRODUCIBILITIES; RETINAL LAYERS; RETINAL NERVE FIBER LAYER; RETINAL NERVE FIBER LAYERS; RETINAL PIGMENT EPITHELIUM; RETINAL VESSELS;

ALDEHYDES; IMAGE PROCESSING; OPTICAL DATA PROCESSING; TOMOGRAPHY;

OPHTHALMOLOGY;

A SCAN; ARTICLE; ARTIFACT; ARTIFACT REDUCTION; CONTROLLED STUDY; EYE FUNDUS; FEMALE; GLAUCOMA; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; MALE; NERVE FIBER; NORMAL HUMAN; OPTIC DISK; OPTICAL COHERENCE TOMOGRAPHY; PIGMENT EPITHELIUM; REPRODUCIBILITY; RETINA BLOOD VESSEL; RETINA NERVE CELL; THICKNESS;

ARTIFACTS; CASE-CONTROL STUDIES; FEMALE; GLAUCOMA; HUMANS; MALE; REPRODUCIBILITY OF RESULTS; RETINAL VESSELS; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 80054094644     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2011.08.005     Document Type: Article

References (23)

1. Huang D., Swanson E.A., Lin C.P., et al. Optical coherence tomography. J. Sci. 1991, 1178-1181.
2. Garibi J.H., González I.C., Díaz P.P., Kyung Jang I. J. Rev. Esp. Cardiol. 2010, 63:951-962.
3. Holmes J. OCT technology development: where are we now? A Commercial perspective. J. Biophoton. 2009, 2(6-7):347-352.
4. Gambichler T., Moussa G., Sand M., Sand D., et al. Applications of optical coherence tomography in dermatology. J. Dermatol. Sci. 2005, 40(2):85-94.
5. Ascencio M., Collinet P., Cosson M., Mordon S. The role and value of optical coherence tomography in gynecology. J. Gynecol. Obstet. Biol. Reprod. 2007, 36(8):749-755.
6. Pinto T.L., Waksman R. Clinical applications of optical coherence tomography. J. Intervent. Cardiol. 2006, 19(6):566-573.
7. Ramos J.L., Li Y., Huang D. Clinical and research applications of anterior segment optical coherence tomography-a review. J. Clin. Exp. Ophthalmol. 2009, 37(1):81-89.
8. Jaffe G.J., Caprioli J. Optical coherence tomography to detect and manage retinal disease and glaucoma. Am. J. Ophthalmol. 2004, 137(1):156-169.
9. Lichter P.R. Variability of expert observers in evaluating the optic disc. Trans. Am. Ophthalmol. Soc. 1976, 74:532-572.
10. Tielsch J.M., Katz J., Quigley H.A., Miller N.R., Sommer A. Intraobserver and interobserver agreement in measurement of optic disc characteristics. Ophthalmology 1988, 95:350-356.
11. Varma R., Steinmann W.C., Scott I.U. Expert agreement in evaluating the optic disc for glaucoma. Ophthalmology 1992, 99:215-221.
12. Greaney M.J., Hoffman D.C., Garway-Heath D.F., Nakla M., Coleman A.L., Caprioli J. Comparison of optic nerve imaging methods to distinguish normal eyes from those with glaucoma. Invest. Ophthalmol. Vis. Sci. 2002, 43:140-145.
13. Fabritius T., Makita S., Hong Y., et al. Automated retinal shadow compensation of optical coherence tomography images. J. Biomed. Opt. 2009, 14:010503.
14. Xu N., Ahuia N., Bansal R. Object segmentation using graph cuts based active contours. Comput. Vis. Image Underst. 2007, 107:210-224.
15. Cohen L.D. On active contour models and balloons. CVGIP: Image Underst. 1991, 53(2):211-218.
16. Zhu G.P., Zhang Sh.Q., Zeng Q.S.H., Wang Ch.H. Boundary-based image segmentation using binary level set method. Opt. Eng. 2007, 46:50501.
17. Remi R. Region-based strategies for active contour models. Int. J. Comput. Vis. 1994, 13(2):229-251.
18. Zhang K., Zhang L., Song H., Zhou W. Active contours with selective local or global segmentation: a new formulation and level set method. J. Image Vis. Comput. 2010, 28:668-676.
19. Medeiros F.A., Zangwill L.M., Alencar L.M., et al. Detection of glaucoma progression with stratus OCT retinal nerve fiber layer, optic nerve head, and macular thickness measurements. Invest. Ophthalmol. Vis. Sci. 2009, 50(12):5741-5748.
20. Leung C.K-s., Cheung C.Y.L., Weinreb R.N., et al. Evaluation of retinal nerve fiber layer progression in glaucoma: a study on optical coherence tomography guided progression analysis. Invest. Ophthalmol. Vis. Sci. 2010, 51(1):217-222.
21. Yasuno Y., Hong Y., Makita S., Yamanari M., et al. In vivo high-contrast imaging of deep posterior eye by 1-micron swept source optical coherence tomography and scattering optical coherence angiography. Opt. Express 2007, 15(10):6121-6139.
22. Oscar P., Bruno J.C. Inverse scattering problem for optical coherence tomography. Opt. Lett. 2003, 28(21):2049-2051.
23. Skaar J., Ligang W., Erdogan T. On the synthesis of fiber Bragg gratings by layer peeling. IEEE J. Quant. Electron. 2001, 37(2):165-173.