1. Duke University

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    1. Mentioned In 656 Articles

    2. Nonlinear distortion correction for posterior eye segment optical coherence tomography with application to tree shrews

      Nonlinear distortion correction for posterior eye segment optical coherence tomography with application to tree shrews
      We propose an empirical distortion correction approach for optical coherence tomography (OCT) devices that use a fan-scanning pattern to image the posterior eye segment. Two types of reference markers were used to empirically estimate the distortion correction approach in tree shrew eyes: retinal curvature from MRI images and implanted glass beads of known diameter. Performance was tested by correcting distorted images of the optic nerve head. In small animal eyes ...
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    3. Assessment of Retinal Microvascular Alterations in Individuals with Amnestic and Non-Amnestic Mild Cognitive Impairment using Optical Coherence Tomography Angiography

      Assessment of Retinal Microvascular Alterations in Individuals with Amnestic and Non-Amnestic Mild Cognitive Impairment using Optical Coherence Tomography Angiography
      Purpose: To assess retinal microvascular alterations in individuals with amnestic mild cognitive impairment (MCI) and non-amnestic MCI. Methods: One hundred and twelve eyes of 59 amnestic MCI participants, 32 eyes of 17 non-amnestic MCI participants, and 111 eyes of 56 controls with normal cognition were included. Optical coherence tomography angiography (OCTA) vessel density (VD) and perfusion density (PD) in the Early Treatment Diabetic Retinopathy Study (ETDRS) 3mm circle and ring ...
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      Mentions: Duke University
    4. Macular Neurovascular Abnormalities in a Child with Incontinentia Pigmenti on Handheld Optical Coherence Tomography Angiography

      Macular Neurovascular Abnormalities in a Child with Incontinentia Pigmenti on Handheld Optical Coherence Tomography Angiography
      Purpose: To report macular neurovascular abnormalities in a child with incontinentia pigmenti using handheld optical coherence tomography (OCT) and OCT angiography (OCT-A). Methods: An eye of a child with incontinentia pigmenti enrolled in BabySTEPS was imaged using an investigational noncontact, handheld swept-source OCT device during examination under anesthesia. Custom MATLAB scripts were used to generate depth-resolved vascular slabs, B-scans with flow overlay, and retinal thickness maps. Results: Depth-resolved OCT and ...
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      Mentions: Duke University
    5. Multimodal assessments of drusenoid pigment epithelial detachments in the Age-Related Eye Disease Study 2 Ancillary (A2A) spectral-domain optical coherence tomography (SD-OCT) study cohort

      Multimodal assessments of drusenoid pigment epithelial detachments in the Age-Related Eye Disease Study 2 Ancillary (A2A) spectral-domain optical coherence tomography (SD-OCT) study cohort
      Purpose: To identify features correlating with drusenoid pigment epithelial detachment (DPED) progression in the AREDS2 Ancillary (A2A) spectral-domain optical coherence tomography (SD-OCT) study cohort. Methods: In this retrospective analysis of a prospective longitudinal study, eyes with intermediate age-related macular degeneration (AMD) and DPEDs were followed longitudinally with annual multimodal imaging. Results: Thirty-one eyes of 25 participants (mean age 72.6 years) in the A2A AREDS2 substudy had DPED identified in ...
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    6. Validation of a deep learning-based algorithm for segmentation of the ellipsoid zone on optical coherence tomography images of an USH2A-related retinal degeneration clinical trial

      Validation of a deep learning-based algorithm for segmentation of the ellipsoid zone on optical coherence tomography images of an USH2A-related retinal degeneration clinical trial
      Purpose: To assess the generalizability of a deep learning-based algorithm to segment the ellipsoid zone (EZ). Methods: The dataset consisted of 127 spectral-domain optical coherence tomography volumes from eyes of participants with USH2A-related retinal degeneration enrolled in the RUSH2A clinical trial ( NCT03146078 ). The EZ was segmented manually by trained Readers and automatically by DOCTAD, a deep learning-based algorithm originally developed for macular telangiectasia type 2. Performance was evaluated using the ...
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    7. Retinal microvascular changes in white matter hyperintensities investigated by swept source optical coherence tomography angiography

      Retinal microvascular changes in white matter hyperintensities investigated by swept source optical coherence tomography angiography
      Backgro: To assess the microvascular changes in the macular region and the foveal avascular zone (FAZ) area in participants with white matter hyperintensities (WMHs) using swept source optical coherence tomography angiography (SS OCTA). Methods: This cross-sectional study included a total of 23 WMH participants (45 eyes) and 20 age-matched healthy participants (40 eyes). SS OCTA (VG200; SVision Imaging, Ltd., Luoyang, China) was used to assess the retinal vessel density (VD ...
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      Mentions: Duke University
    8. Esophageal OCT Imaging Using a Paddle Probe Externally Attached to Endoscope

      Esophageal OCT Imaging Using a Paddle Probe Externally Attached to Endoscope
      Background and aims: Endoscopic surveillance of Barrett's esophagus (BE) by white light examination is insufficient to diagnose dysplastic change. In this work, we describe an optical imaging method to obtain high-resolution cross-sectional imaging using a paddle-shaped probe affixed to the endoscope tip. Methods: We integrated Optical Coherence Tomography (OCT), an optical imaging method that produces cross-sectional images, into a paddle probe attached to video endoscope. We acquired images of ...
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    9. Conversion of Central Subfield Thickness Measurements of Diabetic Macular Edema Across Cirrus and Spectralis Optical Coherence Tomography Instruments

      Conversion of Central Subfield Thickness Measurements of Diabetic Macular Edema Across Cirrus and Spectralis Optical Coherence Tomography Instruments
      Purpose: Develop equations to convert Cirrus central subfield thickness (CST) to Spectralis CST equivalents and vice versa in eyes with diabetic macular edema (DME). Methods: The DRCR Retina Network Protocol O data were split randomly to train (70% sample) and validate (30% sample) conversion equations. Data from an independent study (CADME) also validated the equations. Bland-Altman 95% limits of agreement between predicted and observed values evaluated the equations. Results: Protocol ...
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    10. Dual-Axis OCT Gets Under the Skin

      Dual-Axis OCT Gets Under the Skin
      Optical coherence tomography (OCT) , long considered the gold standard for imaging and diagnosing diseases of the eye, could be used to identify and evaluate conditions deep beneath the skin. A team led by Duke Universitys Adam Wax has developed a method to increase the depth at which light can penetrate skin. The team adapted dual-axis OCT (DA-OCT) for this purpose and increased the imaging depth of conventional OCT by almost ...
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      Mentions: Duke University
    11. Deep imaging with 1.3 µm dual-axis optical coherence tomography and an enhanced depth of focus

      Deep imaging with 1.3 µm dual-axis optical coherence tomography and an enhanced depth of focus
      For many clinical applications, such as dermatology, optical coherence tomography (OCT) suffers from limited penetration depth due primarily to the highly scattering nature of biological tissues. Here, we present a novel implementation of dual-axis optical coherence tomography (DA-OCT) that offers improved depth penetration in skin imaging at 1.3 m compared to conventional OCT. Several unique aspects of DA-OCT are examined here, including the requirements for scattering properties to realize ...
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    12. Robotically aligned optical coherence tomography with 5 degree of freedom eye tracking for subject motion and gaze compensation

      Robotically aligned optical coherence tomography with 5 degree of freedom eye tracking for subject motion and gaze compensation
      Optical coherence tomography (OCT) has revolutionized diagnostics in ophthalmology. However, OCT requires a trained operator and patient cooperation to carefully align a scanner with the subjects eye and orient it in such a way that it images a desired region of interest at the retina. With the goal of automating this process of orienting and aligning the scanner, we developed a robot-mounted OCT scanner that automatically aligned with the pupil ...
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      Mentions: Duke University
    13. Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images

      Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images
      The purpose of this study was to develop an automatic deep learning-based approach and corresponding free, open-source software to perform segmentation of the Schlemm's canal (SC) lumen in optical coherence tomography (OCT) scans of living mouse eyes. A novel convolutional neural network (CNN) for semantic segmentation grounded in a U-Net architecture was developed by incorporating a late fusion scheme, multi-scale input image pyramid, dilated residual convolution blocks, and attention-gating ...
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      Mentions: Duke University
    14. Connectivity-based deep learning approach for segmentation of the epithelium in in vivo human esophageal OCT images

      Connectivity-based deep learning approach for segmentation of the epithelium in in vivo human esophageal OCT images
      Optical coherence tomography (OCT) is used for diagnosis of esophageal diseases such as Barrett's esophagus. Given the large volume of OCT data acquired, automated analysis is needed. Here we propose a bilateral connectivity-based neural network for in vivo human esophageal OCT layer segmentation. Our method, connectivity-based CE-Net (Bicon-CE), defines layer segmentation as a combination of pixel connectivity modeling and pixel-wise tissue classification. Bicon-CE outperformed other widely used neural networks ...
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  2. About Duke University

    Duke University

    Duke University is a private research university located in Durham, North Carolina, USA. Duke University Medical CenterFor more than 75 years, our community of scholars and students has been devoted to understanding the causes, prevention and treatment of human disease. Duke University Eye Center is part of the Medical School.  Duke University's Pratt School of Engineering established The Fitzpatrick Center for Photonics and Communications Systems in December 2000 to help turn North Carolina into a "photon forest" where research and development in photonics would create the kind of technological advance and economic growth found in California's Silicon Valley.

  3. Quotes about Duke University

    1. We are excited to be working with an institution as prestigious as Duke University to advance medical diagnostics.
      In SpectraScience Announces Licensing of Key Technology From Duke University