1. UCLA

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    1. Mentioned In 273 Articles

    2. Retinal Optical Coherence Tomography in Neuromyelitis Optica

      Retinal Optical Coherence Tomography in Neuromyelitis Optica
      Background and objectives: To determine optic nerve and retinal damage in aquaporin-4 antibody (AQP4-IgG)-seropositive neuromyelitis optica spectrum disorders (NMOSD) in a large international cohort after previous studies have been limited by small and heterogeneous cohorts. Methods: The cross-sectional Collaborative Retrospective Study on retinal optical coherence tomography (OCT) in neuromyelitis optica collected retrospective data from 22 centers. Of 653 screened participants, we included 283 AQP4-IgG-seropositive patients with NMOSD and 72 ...
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    3. Agreement of IOL power calculation between IOLMaster 700 and Anterion swept source optical coherence tomography-based biometers

      Agreement of IOL power calculation between IOLMaster 700 and Anterion swept source optical coherence tomography-based biometers
      Purpose: To assess agreement of measurements by two swept source optical coherence tomography (SS-OCT) biometers and to evaluate the prediction error (PE) in intraocular lens (IOL) power calculation with seven formulas. Setting: Tertiary public eye hospital. Design: Consecutive observational. Methods: Axial length (AL), keratometry (K), anterior chamber depth (ACD), lens thickness (LT), and corneal diameter (CD) were measured with IOL Master 700 (Biometer A) and Anterion (Biometer B). Agreement was ...
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    4. Diagnostic Accuracy of Endobronchial Optical Coherence Tomography for the Microscopic Diagnosis of Usual Interstitial Pneumonia

      Diagnostic Accuracy of Endobronchial Optical Coherence Tomography for the Microscopic Diagnosis of Usual Interstitial Pneumonia
      Rationale: Early, accurate diagnosis of interstitial lung disease (ILD) informs prognosis and therapy, especially in idiopathic pulmonary fibrosis (IPF). Current diagnostic methods are imperfect. HRCT resolution is limited while surgical lung biopsy (SLB) carries risks of morbidity/mortality. Endobronchial optical coherence tomography (EB-OCT) is a low-risk, bronchoscope-compatible modality that images large lung volumes in vivo with microscopic resolution, including subpleural lung, and has the potential to improve the diagnostic accuracy ...
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    5. En Face Optical Coherence Tomography Imaging of Foveal Dots in Eyes With Posterior Vitreous Detachment or Internal Limiting Membrane Peeling

      En Face Optical Coherence Tomography Imaging of Foveal Dots in Eyes With Posterior Vitreous Detachment or Internal Limiting Membrane Peeling
      Purpose: To analyze the morphology of foveal hyperreflective dots (HRD) identified with en face optical coherence tomography (OCT) and evaluate the effects of internal limiting membrane (ILM) peeling and posterior vitreous detachment (PVD) on the number of these lesions. Methods: Retrospective cross-sectional study of patients with OCT angiography and en face OCT. Using en face OCT, superficial HRD lying on the foveal floor were measured and quantitated in eyes with ...
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      Mentions: UCLA
    6. Deep learning improves image reconstruction in optical coherence tomography using less data

      Deep learning improves image reconstruction in optical coherence tomography using less data
      Optical coherence tomography (OCT) is a non-invasive imaging method that can provide 3D information of biological samples. The first generation of OCT systems were based on time-domain imaging, using a mechanical scanning set-up. However, the relatively slow data acquisition speed of these earlier time-domain OCT systems partially limited their use for imaging live specimen. The introduction of the spectral-domain OCT techniques with higher sensitivity has contributed to a dramatic increase ...
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    7. Implementation of Teleretinal Screening Using Optical Coherence Tomography in the Veterans Health Administration

      Implementation of Teleretinal Screening Using Optical Coherence Tomography in the Veterans Health Administration
      Background: The Veterans Health Administration (VHA) has an existing teleretinal screening program that uses nonmydriatic fundus photography to screen for diabetic retinopathy in primary care clinics. Concurrently, optical coherence tomography (OCT) has become a routine screening modality in eye clinics for the diagnosis and management of retinal diseases. Introduction: This study aimed to evaluate the first year of a pilot tele-OCT program that used existing resources within the VHA. Without ...
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      Mentions: UCLA
    8. Advances in Imaging Modalities, Artificial Intelligence, and Single Cell Biomarker Analysis, and Their Applications in Cytopathology

      Advances in Imaging Modalities, Artificial Intelligence, and Single Cell Biomarker Analysis, and Their Applications in Cytopathology
      Several advances in recent decades in digital imaging, artificial intelligence, and multiplex modalities have improved our ability to automatically analyze and interpret imaging data. Imaging technologies such as optical coherence tomography, optical projection tomography, and quantitative phase microscopy allow analysis of tissues and cells in 3-dimensions and with subcellular granularity. Improvements in computer vision and machine learning have made algorithms more successful in automatically identifying important features to diagnose disease ...
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      Mentions: UCLA
    9. Assessing the Clinical Utility of Expanded Macular OCTs Using Machine Learning

      Assessing the Clinical Utility of Expanded Macular OCTs Using Machine Learning
      Purpose: Optical coherence tomography (OCT) is widely used in the management of retinal pathologies, including age-related macular degeneration (AMD), diabetic macular edema (DME), and primary open-angle glaucoma (POAG). We used machine learning techniques to understand diagnostic performance gains from expanding macular OCT B-scans compared with foveal-only OCT B-scans for these conditions. Methods: Electronic medical records were extracted to obtain 61 B-scans per eye from patients with AMD, diabetic retinopathy, or ...
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    10. Automatic Segmentation in Multiple OCT Layers For Stargardt Disease Characterization Via Deep Learning

      Automatic Segmentation in Multiple OCT Layers For Stargardt Disease Characterization Via Deep Learning
      Purpose : This study sought to perform automated segmentation of 11 retinal layers and Stargardt-associated features on spectral-domain optical coherence tomography (SD-OCT) images and to analyze differences between normal eyes and eyes diagnosed with Stargardt disease. Methods : Automated segmentation was accomplished through application of the deep learningshortest path (DL-SP) framework, a shortest path segmentation approach that is enhanced by a deep learning fully convolutional neural network. To compare normal eyes and ...
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    11. Comparison between Widefield Optical Coherence Tomography Devices in Eyes with High Myopia

      Comparison between Widefield Optical Coherence Tomography Devices in Eyes with High Myopia
      Background: To compare four different optical coherence tomography (OCT) devices for visualization of retinal and subretinal layers in highly myopic eyes. Methods: In this prospective, observational, cross-sectional study, consecutive patients with high myopia and control subjects were imaged by four OCT devices: Spectralis OCT2, PlexElite 2.0 100 kHz, PlexElite 2.0 200 kHz and the Canon Xephilio OCT-S1. The acquisition protocol for comparison consisted of single vertical and horizontal ...
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      Mentions: UCLA
    12. Earlier Detection of Glaucoma Progression Using High-Density 3D Spectral-Domain Optical Coherence Tomography Optic Nerve Volume Scans

      Earlier Detection of Glaucoma Progression Using High-Density 3D Spectral-Domain Optical Coherence Tomography Optic Nerve Volume Scans
      Purpose: To compare onset times of glaucoma progression among different glaucoma tests: disc photography (DP), visual field (VF) testing, two-dimensional (2D) retinal nerve fiber layer (RNFL) thickness, and three-dimensional (3D) spectral-domain optical coherence tomography (SD-OCT) neuroretinal rim measurements. Design: Prospective longitudinal cohort study PARTICIPANTS: One hundred and twenty-four eyes of 124 open angle glaucoma patients METHODS: Over a 5-year period, 124 open angle glaucoma patients had yearly DP, VFs, SD-OCT ...
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    13. Optical Coherence Tomography Signs of Early Atrophy in Age-related Macular Degeneration: Inter-Reader Agreement. CAM Report 6

      Optical Coherence Tomography Signs of Early Atrophy in Age-related Macular Degeneration: Inter-Reader Agreement. CAM Report 6
      Objective: To determine the inter-reader agreement for incomplete and complete retinal pigment epithelium and outer retinal atrophy (iRORA and cRORA respectively) and their related features in age-related macular degeneration (AMD). Design: Inter-reader agreement study. Participants: Twelve readers from six reading centers. Methods: Following formal training, readers qualitatively assessed 60 optical coherence tomography (OCT) B-scans from 60 eyes with AMD for nine individual features associated with early atrophy and performed seven ...
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    14. Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data

      Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
      Optical Coherence Tomography (OCT) is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning-based image reconstruction framework that can generate swept-source OCT (SS-OCT) images using undersampled spectral data, without any spatial aliasing artifacts. This neural network-based image reconstruction does not require any hardware changes to the optical set- up and can be easily integrated with existing swept-source or ...
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    15. 1-15 of 273 1 2 3 4 ... 17 18 19 »
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  2. About UCLA

    UCLA

    University of California at Los Angeles (UCLA) is a public research university located in Westwood, Los Angeles, California, United States. It was founded in 1919, making it the second-oldest general-purpose campus in the University of California system. The name was changed in 1927 to the University of California at Los Angeles. UCLA comprises the College of Letters and Science (the primary undergraduate college) as well as undergraduate colleges Arts and Architecture, Herb Alpert School of Music, Henry Samueli School of Engineering and Applied Science, Nursing, and Theater, Film, and Television, seven professional schools, and five professional Health Science schools. Since 2001, UCLA has enrolled over 33,000 total students annually, and that number is steadily rising.