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B.K. Monson, V.J. Srinivasan, M.D. Wojtkowski, J. Liu, J.S. Duker, J.G. Fujimoto, J.S. Schuman, H. Ishikawa, A. Witkin; Quantification and Volumetric Imaging of Retinal Pathologies Using High–Speed Ultrahigh Resolution Optical Coherence Tomography . Invest. Ophthalmol. Vis. Sci. 2006;47(13):4760.
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© ARVO (1962-2015); The Authors (2016-present)
To establish ultrahigh resolution optical coherence tomography (UHR–OCT) quantitative volumetric mapping of intraretinal features in normal eyes and subjects with retinal disease. To demonstrate quantitative analysis of intraretinal morphology in normal eyes and eyes with different stages of retinal pathology. To compare quantitative measurements of intraretinal morphology in pathologic eyes before and after treatment.
A research prototype high–speed, UHR–OCT system has been developed for use in the ophthalmic clinic. Utilizing high performance "spectral/Fourier domain" detection, this technology has achieved an imaging speed ∼60x over commercial standard OCT systems and axial image resolution of ∼3 µm. This new technology enables better visualization of intraretinal layers and improved coverage of the retina. Intraretinal layer volume measurements of normal and pathologic eyes have been displayed as an en face false–color map precisely registered to the fundus.
High–speed, UHR–OCT imaging was performed in 361 subjects with various retinal pathologies. Standard UHR–OCT imaging was previously performed on 711 subjects. The intraretinal layers were visualized in cross–section images and detected by computer software. Intraretinal layers were segmented and mapped enabling intraretinal volume analysis. Analysis of 40 normal eyes was used to establish a preliminary normative baseline by which pathologic conditions were compared. Retinal pathologies including wet ARMD (pre– and post–Avastin treatment), dry ARMD, central serous chorioretinopathy, macular edema, macular hole, plaquenil toxicity and VMT were imaged and quantified.
Quantification of intraretinal layer analysis is possible with the improved resolution, decreased motion artifact, and improved retinal coverage provided by high–speed UHR–OCT. Segmentation and mapping is achievable with high reproducibility and operator independence. Volume and segmentation analysis of individual retinal layers are potential unique diagnostic and management parameters for retinal pathologies.
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