Noninvasive Volumetric Imaging and Morphometry of the Rodent Retina with High-Speed, Ultrahigh-Resolution Optical Coherence Tomography

Srinivasan, Vivek J.; Ko, Tony H.; Wojtkowski, Maciej; Carvalho, Mariana; Clermont, Allen C.; Bursell, Sven–Erik; Song, Qin Hui; Lem, Janis; Duker, Jay S.; Schuman, Joel S.; Fujimoto, James G.

doi:10.1167/iovs.06-0195

Cited by 159 publications

(99 citation statements)

References 27 publications

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“…Conversely, the thickness of GCC and total retina varied along X transverse locations due to large superficial vessels. The averaged thicknesses, as well as the standard deviations (SD) for GCC, OPL, ONL and total retina were 69.7 ± 10.1 μm, 9.1 ± 2.5 μm, 62.3 ± 2.5 μm and 165.5 ± 10.1 μm, showing consistency with measurements made using other systems [39].…”

Section: Retinal Layer Thickness Assessmentsupporting

confidence: 79%

“…measured the NFL thickness at 16 discrete B-scan distances from the optic disc and found that it varied from 19 μm to 29 μm. Later, the NFL thickness map at the temporal region of rat retina was achieved [39] showing a radially distributed thickness but failing to reveal the 'crescent' distribution pattern around the whole disc. In this work, the axial resolution provided by vis-OCT and masking of the large vessels allowed us to observe this feature in better detail.…”

Section: Discussionmentioning

confidence: 99%

“…A telescope formed by an objective lens (f = 75 mm) and ocular lens (f = 15 mm) was used to direct the beam to the sample. Rat retinal imaging was performed without physical contact with the cornea [38] or use of contact lenses [39]. To image the chicken embryo, a scan lens (LSM03-VIS, Thorlabs) was used to focus the scanning beam on the sample.…”

Section: System Configurationmentioning

confidence: 99%

“…The distinct boundaries of each layer better illustrate the structure of the retina and makes segmentation easier. Compared to imaging by systems operating at longer wavelengths [39,45], retinal imaging exhibited some unique features in vis-OCT. Increased layer contrast was obtained owing to the stronger interaction between light and tissue, caused by the relative high scattering coefficient of tissue in the visible range.…”

Section: Motion Correctionmentioning

confidence: 99%

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Angiographic and structural imaging using high axial resolution fiber-based visible-light OCT

Pi¹,

Camino²,

Zhang³

et al. 2017

Biomed. Opt. Express

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Optical coherence tomography using visible-light sources can increase the axial resolution without the need for broader spectral bandwidth. Here, a high-resolution, fiberbased, visible-light optical coherence tomography system is built and used to image normal retina in rats and blood vessels in chicken embryo. In the rat retina, accurate segmentation of retinal layer boundaries and quantification of layer thicknesses are accomplished. Furthermore, three distinct capillary plexuses in the retina and the choriocapillaris are identified and the characteristic pattern of the nerve fiber layer thickness in rats is revealed. In the chicken embryo model, the microvascular network and a venous bifurcation are examined and the ability to identify and segment large vessel walls is demonstrated. References and links1. J. M. Schmitt, "Optical coherence tomography (OCT): a review," IEEE J. Sel. Top. Quantum Electron. 5(4), 1205-1215 (1999 457-463 (2002). 5. W. Drexler, U. Morgner, R. K. Ghanta, F. X. Kärtner, J. S. Schuman, and J. G. Fujimoto, "Ultrahigh-resolution ophthalmic optical coherence tomography," Nat. Med. 7(4), 502-507 (2001). 6. V. J. Srinivasan, D. C. Adler, Y. Chen, I. Gorczynska, R. Huber, J. S. Duker, J. S. Schuman, and J. G. Fujimoto, "Ultrahigh-speed optical coherence tomography for three-dimensional and en face imaging of the retina and optic nerve head," Invest. Ophthalmol. Vis. Sci. 49(11), 5103-5110 (2008).

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Section: Retinal Layer Thickness Assessmentsupporting

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Section: System Configurationmentioning

confidence: 99%

Section: Motion Correctionmentioning

confidence: 99%

See 2 more Smart Citations

Angiographic and structural imaging using high axial resolution fiber-based visible-light OCT

Pi¹,

Camino²,

Zhang³

et al. 2017

Biomed. Opt. Express

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“…Accurate quantification of retinal layer thicknesses in spectral domain optical coherence tomography (SD-OCT) images of mouse eyes is crucial for the study and initial treatment evaluation of many ophthalmic and neurologic diseases in humans [1,2]. However, segmenting these layers manually [1,3] is time-consuming, limiting its practicality for use in large-scale studies.…”

Section: Introductionmentioning

confidence: 99%

Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology

Srinivasan

Heflin

Izatt

et al. 2014

Biomed. Opt. Express

124

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Accurate quantification of retinal layer thicknesses in mice as seen on optical coherence tomography (OCT) is crucial for the study of numerous ocular and neurological diseases. However, manual segmentation is time-consuming and subjective. Previous attempts to automate this process were limited to high-quality scans from mice with no missing layers or visible pathology. This paper presents an automatic approach for segmenting retinal layers in spectral domain OCT images using sparsity based denoising, support vector machines, graph theory, and dynamic programming (S-GTDP). Results show that this method accurately segments all present retinal layer boundaries, which can range from seven to ten, in wild-type and rhodopsin knockout mice as compared to manual segmentation and has a more accurate performance as compared to the commercial automated Diver segmentation software.

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Diffuse Glaucomatous Structural and Functional Damage in the Hemifield Without Significant Pattern Loss

2009

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To compare the retinal nerve fiber layer (RNFL) thickness and retinal sensitivity in the normal visual hemifield of glaucomatous eyes with localized visual field loss with those of normal eyes and eyes with suspected glaucoma, and to evaluate the relationship between RNFL atrophy and glaucoma severity. Methods: One randomly selected eye of each subject underwent standard automated perimetry, stereoscopic photography, scanning laser polarimetry with enhanced corneal compensation, and time-domain and spectral-domain optical coherence tomography (OCT). Mean retinal sensitivity values were calculated in the normal standard automated perimetry hemifield of the glaucoma group and randomly selected hemifields in the normal and suspected glaucoma groups. The mean RNFL thickness values corresponding to the normal hemifield were calculated. Glaucoma severity was judged using standard automated perimetry pattern standard deviation and the Heidelberg retina tomograph-derived linear cupdisc ratio. Results: Fifty subjects were enrolled in each group. Mean RNFL thickness in the normal hemifield obtained using spectral-domain OCT, time-domain OCT, and scanning laser polarimetry with enhanced corneal compensation was significantly (PՅ.01) thinner in the glaucoma group compared with the normal and suspected glaucoma groups. Mean retinal sensitivity in the normal hemifield was significantly (PϽ.001) reduced in the glaucoma group compared with the normal and suspected glaucoma groups. The Heidelberg retina tomograph-derived cup-disc ratio was significantly correlated with mean RNFL thickness in the normal hemifield obtained using spectral-domain OCT, time-domain OCT, and scanning laser polarimetry with enhanced corneal compensation (PՅ.01). Conclusions: Diffuse RNFL atrophy and retinal sensitivity loss exist in glaucomatous eyes with localized standard automated perimetry deficits. Glaucomatous damage affects both structure and function in a linear proportion.

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Noninvasive Volumetric Imaging and Morphometry of the Rodent Retina with High-Speed, Ultrahigh-Resolution Optical Coherence Tomography

Cited by 159 publications

References 27 publications

Angiographic and structural imaging using high axial resolution fiber-based visible-light OCT

Angiographic and structural imaging using high axial resolution fiber-based visible-light OCT

Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology

Diffuse Glaucomatous Structural and Functional Damage in the Hemifield Without Significant Pattern Loss

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