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Minimising retinal vessel artefacts in optical coherence tomography images

Published: 01 November 2011 Publication History

Abstract

Optical coherence tomography (OCT) is commonly used to investigate the layers of the retina including retinal nerve fiber layer (RNFL) and retinal pigment epithelium (RPE). OCT images are altered by vessels on the retinal surface producing artefacts. We propose a new approach to compensate for these artefacts and enhance quality of OCT images. A total of 28 (20 normal and 8 glaucoma subjects) OCT images were obtained using Spectralis (Heidelberg, Germany). Shadows were detected along the image and compensated by the A-Scan intensity difference from surrounding non-affected areas. Images were then segmented and the area and thickness of RNFL and RPE were measured and compared. 10 subjects were tested twice to determine the effect of this on reproducibility of measurements. Shadow-suppressed images reflected the profile of the retinal layers more closely when assessed qualitatively, minimising distortion. The segmentation of RNFL and RPE thickness demonstrated a mean change of 2.4%+/-1 and 6%+/-1 from the original images. Much larger changes were observed in areas with vessels. Reproducibility of RNFL thickness was improved, specifically in the higher density vessel location, i.e. inferior and superior. Therefore, OCT images can be enhanced by an image processing procedure. Vessel artefacts may cause errors in assessment of RNFL thickness and are a source of variability, which has clinical implications for diseases such as glaucoma where subtle changes in RNFL need to be monitored accurately over time.

References

[1]
Huang, D., Swanson, E.A. and Lin, C.P., Optical coherence tomography. J. Sci. 1178-1181.
[2]
Garibi, J.H., González, I.C., Díaz, P.P. and Kyung Jang, I., . J. Rev. Esp. Cardiol. v63. 951-962.
[3]
Holmes, J., OCT technology development: where are we now? A Commercial perspective. J. Biophoton. v2 i6-7. 347-352.
[4]
Gambichler, T., Moussa, G., Sand, M. and Sand, D., Applications of optical coherence tomography in dermatology. J. Dermatol. Sci. v40 i2. 85-94.
[5]
Ascencio, M., Collinet, P., Cosson, M. and Mordon, S., The role and value of optical coherence tomography in gynecology. J. Gynecol. Obstet. Biol. Reprod. v36 i8. 749-755.
[6]
Pinto, T.L. and Waksman, R., Clinical applications of optical coherence tomography. J. Intervent. Cardiol. v19 i6. 566-573.
[7]
Ramos, J.L., Li, Y. and Huang, D., Clinical and research applications of anterior segment optical coherence tomography-a review. J. Clin. Exp. Ophthalmol. v37 i1. 81-89.
[8]
Jaffe, G.J. and Caprioli, J., Optical coherence tomography to detect and manage retinal disease and glaucoma. Am. J. Ophthalmol. v137 i1. 156-169.
[9]
Lichter, P.R., Variability of expert observers in evaluating the optic disc. Trans. Am. Ophthalmol. Soc. v74. 532-572.
[10]
Tielsch, J.M., Katz, J., Quigley, H.A., Miller, N.R. and Sommer, A., Intraobserver and interobserver agreement in measurement of optic disc characteristics. Ophthalmology. v95. 350-356.
[11]
Varma, R., Steinmann, W.C. and Scott, I.U., Expert agreement in evaluating the optic disc for glaucoma. Ophthalmology. v99. 215-221.
[12]
Greaney, M.J., Hoffman, D.C., Garway-Heath, D.F., Nakla, M., Coleman, A.L. and Caprioli, J., Comparison of optic nerve imaging methods to distinguish normal eyes from those with glaucoma. Invest. Ophthalmol. Vis. Sci. v43. 140-145.
[13]
Fabritius, T., Makita, S. and Hong, Y., Automated retinal shadow compensation of optical coherence tomography images. J. Biomed. Opt. v14. 010503
[14]
Xu, N., Ahuia, N. and Bansal, R., Object segmentation using graph cuts based active contours. Comput. Vis. Image Underst. v107. 210-224.
[15]
Cohen, L.D., On active contour models and balloons. CVGIP: Image Underst. v53 i2. 211-218.
[16]
Zhu, G.P., Zhang, Sh.Q., Zeng, Q.S.H. and Wang, Ch.H., Boundary-based image segmentation using binary level set method. Opt. Eng. v46. 50501
[17]
Remi, R., Region-based strategies for active contour models. Int. J. Comput. Vis. v13 i2. 229-251.
[18]
Zhang, K., Zhang, L., Song, H. and Zhou, W., Active contours with selective local or global segmentation: a new formulation and level set method. J. Image Vis. Comput. v28. 668-676.
[19]
Medeiros, F.A., Zangwill, L.M. and Alencar, L.M., Detection of glaucoma progression with stratus OCT retinal nerve fiber layer, optic nerve head, and macular thickness measurements. Invest. Ophthalmol. Vis. Sci. v50 i12. 5741-5748.
[20]
Leung, C.K-s., Cheung, C.Y.L. and Weinreb, R.N., Evaluation of retinal nerve fiber layer progression in glaucoma: a study on optical coherence tomography guided progression analysis. Invest. Ophthalmol. Vis. Sci. v51 i1. 217-222.
[21]
Yasuno, Y., Hong, Y., Makita, S. and Yamanari, M., In vivo high-contrast imaging of deep posterior eye by 1-micron swept source optical coherence tomography and scattering optical coherence angiography. Opt. Express. v15 i10. 6121-6139.
[22]
Oscar, P. and Bruno, J.C., Inverse scattering problem for optical coherence tomography. Opt. Lett. v28 i21. 2049-2051.
[23]
Skaar, J., Ligang, W. and Erdogan, T., On the synthesis of fiber Bragg gratings by layer peeling. IEEE J. Quant. Electron. v37 i2. 165-173.

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  • (2018)Detection of Choroidal Neovascularization Through Characterization of Changes in Anterior and Posterior Eye Segments3D Research10.1007/s13319-018-0189-49:3(1-9)Online publication date: 1-Sep-2018

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cover image Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine  Volume 104, Issue 2
November, 2011
280 pages

Publisher

Elsevier North-Holland, Inc.

United States

Publication History

Published: 01 November 2011

Author Tags

  1. Active contour models
  2. Optical coherence tomography
  3. Retinal nerve fiber layer

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  • (2018)Detection of Choroidal Neovascularization Through Characterization of Changes in Anterior and Posterior Eye Segments3D Research10.1007/s13319-018-0189-49:3(1-9)Online publication date: 1-Sep-2018

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