Retinal Pigment Epithelial Features in Central Serous Chorioretinopathy Identified by Polarization-Sensitive Optical Coherence Tomography

Roberts, Philipp; Baumann, Bernhard; Lammer, Jan; Gerendas, Bianca S.; Kroisamer, Julia S.; Bühl, Wolf; Pircher, Michael; Hitzenberger, Christoph K.; Schmidt‐Erfurth, Ursula; Sacu, Stefan

doi:10.1167/iovs.15-18494

Cited by 24 publications

(16 citation statements)

References 27 publications

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“…Elevated birefringence is observed in parts of the neovascular lesion as well as in the sclera, where alternating layers of higher and lower birefringence are observed which would not be discernible in cumulative retardation images. Several other diseases that affect the macula have been successfully studied by PS-OCT like diabetic retinopathy [129], central serous chorioretinopathy [130], telangiectasia [131], or hereditary diseases like albinism [132] and Stargardt's disease [133]. Moreover, related studies in animal models have been performed [116,134,135].…”

Section: Imaging Of Macular Lesionsmentioning

confidence: 99%

Polarization sensitive optical coherence tomography – a review [Invited]

Boer¹,

Hitzenberger

Yasuno

2017

Biomed. Opt. Express

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362

241

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Abstract:Optical coherence tomography (OCT) is now a well-established modality for highresolution cross-sectional and three-dimensional imaging of transparent and translucent samples and tissues. Conventional, intensity based OCT, however, does not provide a tissuespecific contrast, causing an ambiguity with image interpretation in several cases. Polarization sensitive (PS) OCT draws advantage from the fact that several materials and tissues can change the light's polarization state, adding an additional contrast channel and providing quantitative information. In this paper, we review basic and advanced methods of PS-OCT and demonstrate its use in selected biomedical applications. Drexler, and J. G. Fujimoto, eds. (Springer, Cham, 2015), pp. 1137-1162. 6. J. F. de Boer and T. E. Milner, "Review of polarization sensitive optical coherence tomography and Stokes vector determination," J. Biomed. Opt. 7(3), 359-371 (2002). 7. M. Pircher, C. K. Hitzenberger, and U. Schmidt-Erfurth, "Polarization Sensitive Optical Coherence Tomography in the Human Eye," Prog. Retin. Eye Res. 30(6), 431-451 (2011). 8. D. Stifter, "Beyond biomedicine: a review of alternative applications and developments for optical coherence tomography," Appl. Phys. B 88(3), 337-357 (2007). 9. R. C. Jones, "A new calculus for the treatment of optical systems I. Description and discussion of the calculus," J. Opt. Soc. Am. A 31(7), 488-493 (1941). 10. J. J. Gil and E. Bernabeu, "Obtainment of the polarizing and retardation parameters of a non-depolarizing optical system from the polar decomposition of its Mueller matrix," Optik (Stuttg.) 76, 67-71 (1987). 11. C. F. Bohren and D. R. Huffman, Absorption and Scattering of Light by Small Particles (Wiley Interscience, New York, NY, 1983). 12. W. A. Shurcliff and S. S. Ballard, Polarized Light (Van Nostrand, New York, 1964). 13. B. H. Park, C. Saxer, S. M. Srinivas, J. S. Nelson, and J. F. de Boer, "In vivo burn depth determination by highspeed fiber-based polarization sensitive optical coherence tomography," J. Biomed. Opt. 6(4), 474-479 (2001). 14. B. H. Park, M. C. Pierce, B. Cense, and J. F. de Boer, "Real-time multi-functional optical coherence tomography," Opt. Express 11(7), 782-793 (2003). 15. C. E. Saxer, J. F. de Boer, B. H. Park, Y. Zhao, Z. Chen, and J. S. Nelson, "High-speed fiber based polarizationsensitive optical coherence tomography of in vivo human skin," Opt. Lett. 25(18), 1355-1357 (2000). Rylander, "Polarization sensitive optical coherence tomography of the rabbit eye," IEEE J. Sel. Top. Quantum Electron. 5(4), 1159-1167 (1999 Schmidt-Erfurth, and S. Sacu, "Retinal pigment epithelial features in central serous chorioretinopathy identified by polarization-sensitive optical coherence tomography," Invest. Ophthalmol. Vis. Sci. 57(4), 1595-1603 (2016). 131. C. Schütze, C. Ahlers, M. Pircher, B. Baumann, E. Götzinger, F. Prager, G. Matt, S. Sacu, C. K. Hitzenberger, and U. Schmidt-Erfurth, "Morphologic characteristics of idiopathic juxtafoveal telangiectasia using spectraldomain and po...

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Section: Imaging Of Macular Lesionsmentioning

confidence: 99%

Polarization sensitive optical coherence tomography – a review [Invited]

Boer¹,

Hitzenberger

Yasuno

2017

Biomed. Opt. Express

Self Cite

362

241

View full text Add to dashboard Cite

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“…In ophthalmic OCT, the pigmented epithelia of the iris and retina have been recognized to exhibit pronounced depolarization . This characteristic property has enabled automated segmentation of pathologic features such as drusen and atrophic zones, and has allowed the assessment of age‐related macular degeneration (AMD) . Depolarization measured with OCT has also been used to monitor the healing process and scar formation of thermal injuries in rat skin and to detect lipid‐rich areas of coronary atherosclerotic lesions and dental caries .…”

Section: Introductionmentioning

confidence: 99%

Quantitative depolarization measurements for fiber‐based polarization‐sensitive optical frequency domain imaging of the retinal pigment epithelium

Lippok

Braaf

Villiger

et al. 2018

Journal of Biophotonics

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A full quantitative evaluation of the depolarization of light may serve to assess concentrations of depolarizing particles in the retinal pigment epithelium and to investigate their role in retinal diseases in the human eye. Optical coherence tomography and optical frequency domain imaging use spatial incoherent averaging to compute depolarization. Depolarization depends on accurate measurements of the polarization states at the receiver but also on the polarization state incident upon and within the tissue. Neglecting this dependence can result in artifacts and renders depolarization measurements vulnerable to birefringence in the system and in the sample. In this work, we discuss the challenges associated with using a single input polarization state and traditional depolarization metrics such as the degree-of-polarization and depolarization power. We demonstrate quantitative depolarization measurements based on Jones vector synthesis and polar decomposition using fiber-based polarization-sensitive optical frequency domain imaging of the retinal pigment epithelium in a human eye.

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“…Moreover, our framework can be further extended to PED segmentations in central serous chorioretinopathy [48], choroidal neovascularization secondary to age-related macular degeneration [7] and myopic choroidal neovascularization [49] in which serous and vascularized PEDs commonly occur. Dual-stage DNN, suitable for large database segmentation, can provide needed information for better disease management.…”

Section: Resultsmentioning

confidence: 99%

Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy

Xu¹,

Yan

Kim

et al. 2017

Biomed. Opt. Express

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Worldwide, polypoidal choroidal vasculopathy (PCV) is a common visionthreatening exudative maculopathy, and pigment epithelium detachment (PED) is an important clinical characteristic. Thus, precise and efficient PED segmentation is necessary for PCV clinical diagnosis and treatment. We propose a dual-stage learning framework via deep neural networks (DNN) for automated PED segmentation in PCV patients to avoid issues associated with manual PED segmentation (subjectivity, manual segmentation errors, and high time consumption).The optical coherence tomography scans of fifty patients were quantitatively evaluated with different algorithms and clinicians. Dual-stage DNN outperformed existing PED segmentation methods for all segmentation accuracy parameters, including true positive volume fraction (85.74 ± 8.69%), dice similarity coefficient (85.69 ± 8.08%), positive predictive value (86.02 ± 8.99%) and false positive volume fraction (0.38 ± 0.18%). Dual-stage DNN achieves accurate PED quantitative information, works with multiple types of PEDs and agrees well with manual delineation, suggesting that it is a potential automated assistant for PCV management. 467-473 (1996). 6. J. D. Gass, S. B. Bressler, L. Akduman, J. Olk, P. J. Caskey, and L. E. Zimmerman, "Bilateral idiopathic multifocal retinal pigment epithelium detachments in otherwise healthy middle-aged adults: a clinicopathologic study," Retina 25(3), 304-310 (2005). 7. U. Schmidt-Erfurth, S. M. Waldstein, G. G. Deak, M. Kundi, and C. Simader, "Pigment epithelial detachment followed by retinal cystoid degeneration leads to vision loss in treatment of neovascular age-related macular degeneration," Ophthalmology 122(4), 822-832 (2015). 8. N. Nagai, M. Suzuki, A. Uchida, T. Kurihara, M. Kamoshita, S. Minami, H. Shinoda, K. Tsubota, and Y.Ozawa, "Non-responsiveness to intravitreal aflibercept treatment in neovascular age-related macular degeneration: implications of serous pigment epithelial detachment," Sci. 289-296 (2015). 99(3),

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Retinal Pigment Epithelial Features in Central Serous Chorioretinopathy Identified by Polarization-Sensitive Optical Coherence Tomography

Cited by 24 publications

References 27 publications

Polarization sensitive optical coherence tomography – a review [Invited]

Polarization sensitive optical coherence tomography – a review [Invited]

Quantitative depolarization measurements for fiber‐based polarization‐sensitive optical frequency domain imaging of the retinal pigment epithelium

Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy

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