Revealing Henle's fiber layer using spectral domain optical coherence tomography.

PURPOSE Spectral domain optical coherence tomography (SD-OCT) uses infrared light to visualize the reflectivity of structures of differing optical properties within the retina. Despite their presence on histologic studies, traditionally acquired SD-OCT images are unable to delineate the axons of photoreceptor nuclei, Henle's fiber layer (HFL). The authors present a new method to reliably identify HFL by varying the entry position of the SD-OCT beam through the pupil. METHODS Fifteen eyes from 11 subjects with normal vision were prospectively imaged using 1 of 2 commercial SD-OCT systems. For each eye, the entry position of the SD-OCT beam through the pupil was varied horizontally and vertically. The reflectivity of outer retinal layers was measured as a function of beam position, and thicknesses were recorded. RESULTS The reflectivity of HFL was directionally dependent and increased with eccentricity on the side of the fovea opposite the entry position. When HFL was included in the measurement, the thickness of the outer nuclear layer (ONL) of central horizontal B-scans increased by an average of 52% in three subjects quantified. Four cases of pathology, in which alterations to the normal macular geometry affected HFL intensity, were identified. CONCLUSIONS The authors demonstrated a novel method to distinguish HFL from true ONL. An accurate measurement of the ONL is critical to clinical studies measuring photoreceptor layer thickness using any SD-OCT system. Recognition of the optical properties of HFL can explain reflectivity changes imaged in this layer in association with macular pathology.

[1]  Delia Cabrera DeBuc,et al.  Reliability and reproducibility of macular segmentation using a custom-built optical coherence tomography retinal image analysis software. , 2009, Journal of biomedical optics.

[2]  A. Fercher,et al.  In vivo human retinal imaging by Fourier domain optical coherence tomography. , 2002, Journal of biomedical optics.

[3]  N. Drasdo,et al.  The length of Henle fibers in the human retina and a model of ganglion receptive field density in the visual field , 2007, Vision Research.

[4]  Angelika Unterhuber,et al.  Ultrahigh resolution optical coherence tomography of the monkey fovea. Identification of retinal sublayers by correlation with semithin histology sections. , 2004, Experimental eye research.

[5]  J. Duker,et al.  COMPARISON OF SPECTRAL/FOURIER DOMAIN OPTICAL COHERENCE TOMOGRAPHY INSTRUMENTS FOR ASSESSMENT OF NORMAL MACULAR THICKNESS , 2010, Retina.

[6]  A. Hendrickson,et al.  The morphological development of the human fovea. , 1984, Ophthalmology.

[7]  Angelika Unterhuber,et al.  Assessment of central visual function in Stargardt's disease/fundus flavimaculatus with ultrahigh-resolution optical coherence tomography. , 2005, Investigative ophthalmology & visual science.

[8]  Wolfgang Drexler,et al.  Comparison of ultrahigh- and standard-resolution optical coherence tomography for imaging macular pathology. , 2005, Ophthalmology.

[9]  D. Hunter,et al.  Automated detection of foveal fixation by use of retinal birefringence scanning. , 1999, Applied optics.

[10]  D. M. Tait,et al.  Retinal imaging using commercial broadband optical coherence tomography , 2009, British Journal of Ophthalmology.

[11]  J. Donald M. Gass Stereoscopic atlas of macular diseases , 1977 .

[12]  A. Hendrickson,et al.  Human photoreceptor topography , 1990, The Journal of comparative neurology.

[13]  Donald T. Miller,et al.  Measuring retinal contributions to the optical Stiles-Crawford effect with optical coherence tomography. , 2008, Optics express.

[14]  T. Jørgensen,et al.  Normative data of outer photoreceptor layer thickness obtained by software image enhancing based on Stratus optical coherence tomography images , 2008, British Journal of Ophthalmology.

[15]  R. Knighton,et al.  Directional and spectral reflectance of the rat retinal nerve fiber layer. , 1999, Investigative ophthalmology & visual science.

[16]  R. Ansari,et al.  Thickness profiles of retinal layers by optical coherence tomography image segmentation. , 2008, American journal of ophthalmology.

[17]  Sina Farsiu,et al.  Photoreceptor layer thinning over drusen in eyes with age-related macular degeneration imaged in vivo with spectral-domain optical coherence tomography. , 2009, Ophthalmology.

[18]  R W Knighton,et al.  The directional reflectance of the retinal nerve fiber layer of the toad. , 1992, Investigative ophthalmology & visual science.

[19]  A. Hendrickson,et al.  A qualitative and quantitative analysis of the human fovea during development , 1986, Vision Research.

[20]  R. Knighton,et al.  An Optical Model of the Human Retinal Nerve Fiber Layer: Implications of Directional Reflectance for Variability of Clinical Measurements , 2000, Journal of glaucoma.

[21]  J. Carroll,et al.  Reconstructing foveal pit morphology from optical coherence tomography imaging , 2009, British Journal of Ophthalmology.

[22]  Ronald B. Rabbetts,et al.  Bennett and Rabbetts' clinical visual optics , 1998 .

[23]  D. Worthen,et al.  Histology of the Human Eye. , 1972 .

[24]  Thomas Martini Jørgensen,et al.  Enhancing the signal-to-noise ratio in ophthalmic optical coherence tomography by image registration--method and clinical examples. , 2007, Journal of biomedical optics.

[25]  D. M. Tait,et al.  Spectral domain optical coherence tomography and adaptive optics: imaging photoreceptor layer morphology to interpret preclinical phenotypes. , 2010, Advances in experimental medicine and biology.

[26]  J. Duker,et al.  Imaging of macular diseases with optical coherence tomography. , 1995, Ophthalmology.

[27]  松本 英孝 Outer nuclear layer thickness at the fovea determines visual outcomes in resolved central serous chorioretinopathy , 2010 .