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Optical designs and image processing algorithms for optical coherence tomography detection of glaucoma. Author Wang, Bingqing. Metadata Show full item record. Abstract Optical Coherence Tomography OCT is an optical tomography technique which provides high resolution non-invasive three-dimensional 3D structural images of the sample based on coherent properties of light. The dissertation focuses on the use of OCT systems for detecting glaucoma, which is the second leading cause of blindness worldwide. First, as a prerequisite of analyzing ophthalmologic OCT images, a retinal sublayer segmentation algorithm is presented and implemented with GPU assisted computation.

Then, a polarization-sensitive optical coherence tomography PS-OCT system was constructed for the study of glaucoma. Statistical analysis of the study results indicates that the scattering property of retinal nerve fiber layer RNFL is the earliest indicator for glaucoma. Kiss and T. Farsiu, S. Chiu, R. Folgar, E. Yuan, J. Izatt, C. Yin, J. Chao, and R. Wilson, O. Tan, M. Klein, C. Flaxel, B. Potsaid, J. Liu, C. Lu, M. Kraus, J. Jia, E. Wei, X.

Optical Coherence Tomography – System and Simulation

Wang, X. Zhang, J. Morrison, M. Parikh, L. Lombardi, D. Gattey, R. Armour, B. Edmunds, M. Chen, M. Tawhai, X. Wu, E.

Image Processing in Optical Coherence Tomography - NCBI Bookshelf

Hoffman, and M. Niemeijer, L. Zhang, K. Lee, M. Chiu, J. Izatt, R. Winter, C. Toth, and S. Jia, O. Tan, J. Tokayer, B.

Typical Qualities of Optical Coherence Tomography

Potsaid, Y. Wang, J. Liu, M. Kraus, H. Subhash, J. Fujimoto, J. Hornegger, and D. Kraus, B. Potsaid, M. Mayer, R. Bock, B. Baumann, J. Liu, J. Hornegger, and J. Chiu, X. Li, P.

State-of-the-art in retinal optical coherence tomography image analysis

Nicholas, C. Toth, J. Garvin, M. Kardon, S. Russell, X. Wu, and M. Wang, S. Jacques, Z. Ma, S. Hurst, S. Hanson, and A. Congdon, B. Klaver, R. Klein, B. Friedman, J. Kempen, H. Taylor, P. Ordoqui, P. Tornero, A. Baeza, T. Sainza, J. Zubeldia, and M. Allergy Asthma Immunol.

Huang, E. Swanson, C. Lin, J. Schuman, W. Stinson, W. Chang, M. Hee, T. Flotte, K. Gregory, C. Puliafito, and J. Mortensen and W. Huang, Y. Jia, and S. Lumbros, B. Rosenfield, P. Chen, C. Rispoli, M.

Optical Coherence Tomography Image Retinal Database

Romano, eds. Pope, D. Parker, D. Gustafson, and P. Merickel, Jr. Sonka, and X. Citing articles from OSA journals and other participating publishers are listed here. Alert me when this article is cited. Click here to see a list of articles that cite this paper.

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Angiography data are overlaid onto the structure images to help graders better visualize the OCT angiography images. B Gradient image showing light-to-dark intensity transitions.

C Inverse gradient image showing dark-to-light intensity transitions. B Directional graph search. The solid line represents a made move and dash line represent a possible move. C is the normalized gradient or normalized inverse gradient. Red arrows in A1 and A2 point to the segmentation differences. The colorbar of B1 and B2 is the same as Fig. Red arrows identify the segmentation differences. B En face depth map with segmentation performed every 20 frames. C En face depth map after interpolation of B. The colored curved plane in B1 shows the fitted center of mass plane, which can be thought of as an estimate of the retinal shape.

In B2 , the curved plane is flattened. C1 and C2 are B-scan frames with the A-scan center of mass overlaid. Note the segmentation error inside the yellow box, and a zoom in is provided at the right side. B Corrected segmentation done on the flatten image. C Recovered image and segmentation from B. A are the composite B-scans. C are the composite e n face angiogram of inner retina purple and outer retina yellow.

B are the retinal thickness maps. Row A Edema, cyst, extrudes, RNV, and blood flow in different layers can be visualized on the composite B-scan images.

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Row B The composite e n face angiogram of superficial inner retina and vitreous, where the RNV can be easily seen as pink vessels. The yellow line in row B marks the position of the B-scan slices in row A. Row C The angiogram of the deep inner retina. The vascular network is different from the superficial inner retina, although there are projection artifacts from the superficial inner retina.

Row D shows the angiogram of inner retina with nonperfusion areas marked in light blue.


The nonperfusion areas are 0. Row E The retinal thickness, i. The color map is the same as in Fig.