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    1. Mentioned In 598 Articles

    2. In Vivo Quantitative Analysis of Anterior Chamber White Blood Cell Mixture Composition Using Spectroscopic Optical Coherence Tomography

      In Vivo Quantitative Analysis of Anterior Chamber White Blood Cell Mixture Composition Using Spectroscopic Optical Coherence Tomography
      Anterior uveitis is the most common form of intraocular inflammation, and one of its main signs is the presence of white blood cells (WBCs) in the anterior chamber (AC). Clinically, the true composition of cells can currently only be obtained using AC paracentesis, an invasive procedure to obtain AC fluid requiring needle insertion into the AC. We previously developed a spectroscopic optical coherence tomography (SOCT) analysis method to differentiate between ...
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    3. Predicting Age From Optical Coherence Tomography Scans With Deep Learning

      Predicting Age From Optical Coherence Tomography Scans With Deep Learning
      Purpose : To assess whether age can be predicted from deep learning analysis of peripapillary spectral-domain optical coherence tomography (SD-OCT) B-scans and to determine the importance of specific retinal areas on the predictions. Methods : Deep learning (DL) convolutional neural networks were developed to predict chronological age in healthy subjects using peripapillary SD-OCT B-scan images. Models were built using the whole B-scan, as well as using specific regions through image ablation. Cross-validation ...
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      Mentions: Duke University
    4. Systems and methods for arbitrary viewpoint robotic manipulation and robotic surgical assistance

      Systems and methods for arbitrary viewpoint robotic manipulation and robotic surgical assistance
      Systems and methods for arbitrary viewpoint robotic manipulation and robotic surgical assistance are disclosed. According to an aspect, a system includes one or more controllers configured to receive an image dataset of an actual environment within which the robotic tool is positioned. The controller(s) are also configured to generate a virtual environment of the actual environment based on the image dataset. Further, the controller(s) can control display of ...
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    5. COMPARISON OF SINGLE DRUSEN SIZE ON COLOR FUNDUS PHOTOGRAPHY AND SPECTRAL-DOMAIN OPTICAL COHERENCE TOMOGRAPHY

      COMPARISON OF SINGLE DRUSEN SIZE ON COLOR FUNDUS PHOTOGRAPHY AND SPECTRAL-DOMAIN OPTICAL COHERENCE TOMOGRAPHY
      Purpose: To determine the relationship of drusen size as determined by spectral domain optical coherence tomography ( SD-OCT ), with that measured on registered Color fundus photography (CFP) images, to derive an OCT-based classification system that was comparable to that determined by CFP. Methods: Custom software was developed to register CFP images to the scanning laser ophthalmoscopy fundus images obtained simultaneously with the corresponding SD-OCT images, so that individual drusen observed on ...
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    6. Local anatomic precursors to new onset geographic atrophy in age-related macular degeneration as defined on optical coherence tomography

      Local anatomic precursors to new onset geographic atrophy in age-related macular degeneration as defined on optical coherence tomography
      Purpose In macula-wide analyses, spectral domain optical coherence tomography (SDOCT) features such as drusen volume, hyperreflective foci and OCT-reflective drusen substructures independently predict onset of geographic atrophy (GA) secondary to age-related macular degeneration (AMD). We sought to identify SDOCT features in the location of new GA prior to its onset. Design Retrospective study Subjects Age-Related Eye Disease Study 2 Ancillary SDOCT Study Participants Methods We analyzed longitudinally-captured SDOCT and color ...
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    7. Deep learning-based classification and segmentation of retinal cavitations on optical coherence tomography images of macular telangiectasia type 2

      Deep learning-based classification and segmentation of retinal cavitations on optical coherence tomography images of macular telangiectasia type 2
      Aim: To develop a fully automatic algorithm to segment retinal cavitations on optical coherence tomography (OCT) images of macular telangiectasia type 2 (MacTel2). Methods: The dataset consisted of 99 eyes from 67 participants enrolled in an international, multicentre, phase 2 MacTel2 clinical trial ( NCT01949324 ). Each eye was imaged with spectral-domain OCT at three time points over 2 years. Retinal cavitations were manually segmented by a trained Reader and the retinal ...
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    8. Localized Optical Coherence Tomography Precursors of Macular Atrophy and Fibrotic Scar in the Comparison of Age-Related Macular Degeneration Treatments Trials

      Localized Optical Coherence Tomography Precursors of Macular Atrophy and Fibrotic Scar in the Comparison of Age-Related Macular Degeneration Treatments Trials
      Purpose To identify precursors of macular atrophy (MA) and of fibrotic scar (FS) in eyes treated with anti-VEGF through pixel-mapping analysis of baseline OCT. Design Cross-sectional analysis. Setting Multicenter clinical trial. Patient population 68 eyes from the Comparison of Age-Related Macular Degeneration Treatments Trials. Intervention Treatment with anti-VEGF agents. Main outcome measure The percentage of MA or FS pixels with each OCT feature at baseline, and the odds ratio (OR ...
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    9. Repeatability and Reproducibility of Axial and Lateral Measurements on Handheld Optical Coherence Tomography Systems Compared with Tabletop System

      Repeatability and Reproducibility of Axial and Lateral Measurements on Handheld Optical Coherence Tomography Systems Compared with Tabletop System
      Purpose : To compare the repeatability and reproducibility of axial and lateral retinal measurements using handheld optical coherence tomography (OCT) systems and a tabletop OCT system. Methods : Graders measured central foveal thickness (CFT), optic nerve-to-fovea distance (OFD), and retinal nerve fiber layer (RNFL) thickness on OCT scans of the right eye of 10 healthy adults. Three OCT systems were used: handheld Leica Envisu, investigational handheld swept-source OCT (UC3), and Heidelberg Spectralis ...
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    10. Farsiu Named Fellow of the Optical Society

      Farsiu Named Fellow of the Optical Society
      Sina Farsiu, the Paul Ruffin Scarborough Distinguished Associate Professor of Engineering, has been named a Fellow of the Optical Society of America (OSA). Farsiu was cited for his outstanding contributions to optical image processing and biophotonics. Farsiu is the director of the Vision and Image Processing Laboratory in Dukes Departments of Biomedical Engineering and Ophthalmology, where he has been instrumental in introducing modern image processing and computation methods into the ...
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    11. Repeatability of Peripapillary Optical Coherence Tomography Angiography Parameters in Older Adults

      Repeatability of Peripapillary Optical Coherence Tomography Angiography Parameters in Older Adults
      Purpose: This work assesses the intrasession repeatability of capillary perfusion density (CPD) and capillary flux index (CFI) measurements on peripapillary optical coherence tomography angiography (OCTA) in healthy eyes of older adults. Methods: In this cross-sectional study, healthy volunteers aged 50 years or older underwent 4.5 4.5 mm OCTA imaging centered on the optic nerve head using Zeiss Cirrus HD-5000 AngioPlex (Carl Zeiss Meditec). Two consecutive images were acquired ...
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    12. Macular Optical Coherence Tomography Characteristics at 36 weeks Postmenstrual Age in Infants Examined for Retinopathy of Prematurity

      Macular Optical Coherence Tomography Characteristics at 36 weeks Postmenstrual Age in Infants Examined for Retinopathy of Prematurity
      Objective To report our ability to capture, grade reliably and analyze bedside macular optical coherence tomography (OCT) images from preterm infants and relate OCT findings to biological factors and retinopathy of prematurity (ROP) status at a single time window in the STudy of Eye imaging in Preterm infantS (BabySTEPS). Design Prospective observational study Participants Preterm infants eligible for ROP screening, with parental consent for research and a 361 weeks postmenstrual ...
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    13. A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression

      A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression
      Because of recent advances in computing technology and the availability of large datasets, deep learning has risen to the forefront of artificial intelligence, with performances that often equal, or sometimes even exceed, those of human subjects on a variety of tasks, especially those related to image classification and pattern recognition. As one of the medical fields that is highly dependent on ancillary imaging tests, ophthalmology has been in a prime ...
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    14. Artificial Intelligence Mapping of Structure to Function in Glaucoma

      Artificial Intelligence Mapping of Structure to Function in Glaucoma
      Purpose : To develop an artificial intelligence (AI)based structure-function (SF) map relating retinal nerve fiber layer (RNFL) damage on spectral domain optical coherence tomography (SDOCT) to functional loss on standard automated perimetry (SAP). Methods : The study included 26,499 pairs of SAP and SDOCT from 15,173 eyes of 8878 patients with glaucoma or suspected of having the disease extracted from the Duke Glaucoma Registry. The data set was randomly ...
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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