1. Duke University

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    1. Mentioned In 634 Articles

    2. 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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    3. 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
    4. 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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    5. 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
    6. 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
    7. 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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    8. Optical coherence tomography of small intestine allograft biopsies using a handheld surgical probe

      Optical coherence tomography of small intestine allograft biopsies using a handheld surgical probe
      Significance: The current gold standard for monitoring small intestinal transplant (IT) rejection is endoscopic visual assessment and biopsy of suspicious lesions; however, these lesions are only superficially visualized by endoscopy. Invasive biopsies provide a coarse sampling of tissue health without depicting the true presence and extent of any pathology. Optical coherence tomography (OCT) presents a potential alternative approach with significant advantages over traditional white-light endoscopy. Aim: The aim of our ...
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    9. Ultrawide field, distortion-corrected ocular shape estimation with MHz optical coherence tomography (OCT)

      Ultrawide field, distortion-corrected ocular shape estimation with MHz optical coherence tomography (OCT)
      Ocular deformation may be associated with biomechanical alterations in the structures of the eye, especially the cornea and sclera in conditions such as keratoconus, congenital glaucoma, and pathological myopia. Here, we propose a method to estimate ocular shape using an ultra-wide field MHz swept-source optical coherence tomography (SS-OCT) with a Fourier Domain Mode-Locked (FDML) laser and distortion correction of the images. The ocular biometrics for distortion correction was collected by ...
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    10. Depth-Resolved Visualization of Perifoveal Retinal Vasculature in Preterm Infants Using Handheld Optical Coherence Tomography Angiography

      Depth-Resolved Visualization of Perifoveal Retinal Vasculature in Preterm Infants Using Handheld Optical Coherence Tomography Angiography
      Purpose: To establish methods to visualize depth-resolved perifoveal retinal vasculature in preterm infants using handheld optical coherence tomography angiography (OCT-A). Methods: In this exploratory study, eyes of preterm infants were imaged using an investigational noncontact, handheld swept-source OCT-A device as part of the prospective BabySTEPS infant retinal imaging study. We selected high-quality OCT-A volumes at two developmental stages for analysis. Customized MATLAB scripts were used to segment retinal layers, test ...
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      Mentions: Duke University
    11. Retinal Microanatomy in Retinopathy of Prematurity

      Retinal Microanatomy in Retinopathy of Prematurity
      Retinopathy of prematurity (ROP) is a disorder of development of the neural retina and its vasculature that can impact vision in vulnerable preterm neonates for a lifetime. This study tests high-speed optical coherence tomography (OCT) technology compared to conventional color photographs at the bedside of very preterm infants in the intensive care nursery, to characterize previously unseen abnormalities that can predict a need for referral for ROP treatment, or poor ...
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    12. 1-15 of 634 1 2 3 4 ... 41 42 43 »
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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