1. Christopher Bowd

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    1. Mentioned In 22 Articles

    2. Gradient Bosting Classifiers Combining Vessel Density and Tissue Thickness Measurements for Classifying Early to Moderate Glaucoma

      Explore American Journal of Ophthalmology Ophthalmology
      Gradient Bosting Classifiers Combining Vessel Density and Tissue Thickness Measurements for Classifying Early to Moderate Glaucoma
      Purpose To compare gradient boosting classifier (GBC) analysis of optical coherence tomography angiography (OCTA)-measured vessel density (VD) and OCT-measured tissue thickness to standard OCTA VD and OCT thickness parameters for classifying healthy eyes and eyes with early to moderate glaucoma. Design Comparison of diagnostic tools. Methods One-hundred-eight healthy eyes and 193 glaucomatous eyes with OCTA and OCT imaging of the macula and optic nerve head (ONH) were studied. Four ...
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      Mentions: UCSD Robert N. Weinreb Christopher Bowd

    3. Diagnostic Ability of Optical Coherence Tomography Angiography Macula Vessel Density for the Diagnosis of Glaucoma Using Difference Scan Sizes

      Explore LWW Online Ophthalmology
      Diagnostic Ability of Optical Coherence Tomography Angiography Macula Vessel Density for the Diagnosis of Glaucoma Using Difference Scan Sizes
      Prcis: There is diagnostic information in the outer region of OCTA macula scans not available in the inner region, and this information is especially useful in the early stages of glaucoma . Purpose: To evaluate the diagnostic accuracy of 33▒mm 2 and 66▒mm 2 macula OCT-A scans for classifying healthy, mild glaucoma , and moderate to severe glaucoma eyes. Methods: Participants enrolled in the Diagnostic Innovations in Glaucoma Study (DIGS ...
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      Mentions: Optovue University of São Paulo UCSD

    4. Deep Learning Approaches Predict Glaucomatous Visual Field Damage from Optical Coherence Tomography Optic Nerve Head Enface Images and Retinal Nerve Fiber Layer Thickness Maps

      Explore ScienceDirect Ophthalmology
      Deep Learning Approaches Predict Glaucomatous Visual Field Damage from Optical Coherence Tomography Optic Nerve Head Enface Images and Retinal Nerve Fiber Layer Thickness Maps
      Purpose To develop and evaluate a deep learning system for differentiating between eyes with and without glaucomatous visual field damage (GVFD) and predicting the severity of GFVD from spectral domain optical coherence tomography (SDOCT) optic nerve head images. Design Evaluation of a diagnostic technology Participants 9,765 visual field (VF)SDOCT pairs collected from 1,194 participants with and without GVFD (1909 eyes). Methods Deep learning models were trained to ...
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      Mentions: Columbia University University of Alabama UCSD

    5. Association of Macular and Circumpapillary Microvasculature with Visual Field Sensitivity in Advanced Glaucoma

      Explore American Journal of Ophthalmology Ophthalmology
      Association of Macular and Circumpapillary Microvasculature with Visual Field Sensitivity in Advanced Glaucoma
      Purpose To evaluate the association between optical coherence tomography angiography (OCTA) macular and circumpapillary vessel density and visual field mean deviation (MD) in advanced primary open angle glaucoma (POAG). Design Cross-sectional study. Methods Macula (superficial layer) and optic nerve head [ONH, with (capillary density :CD) and without (vessel density: VD) automated removal of large vessels] OCTA of 34 eyes (34 patients, MD -10 dB) were investigated as macula whole image ...
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      Mentions: UCSD Robert N. Weinreb Christopher Bowd

    6. Measurement floors and dynamic ranges of optical coherence tomography and angiography in glaucoma

      Explore ScienceDirect
      Measurement floors and dynamic ranges of optical coherence tomography and angiography in glaucoma
      Purpose To determine if optical coherence tomography angiography (OCTA)derived vessel density measurements can extend the available dynamic range for detecting glaucoma compared to spectral-domain optical coherence tomography (SDOCT)derived thickness measurements. Design Observational, cross-sectional study. Participants A total of 509 eyes from 38 healthy participants, 63 glaucoma suspects and 193 glaucoma patients enrolled in the Diagnostic Innovations in Glaucoma Study. Methods Relative vessel density and tissue thickness measurement floors ...
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      Mentions: UCSD Robert N. Weinreb Christopher Bowd

    7. Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

      Explore IOVS Journal Ophthalmology
      Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression
      Purpose : To apply computational techniques to wide-angle swept-source optical coherence tomography (SS-OCT) images to identify novel, glaucoma-related structural features and improve detection of glaucoma and prediction of future glaucomatous progression. Methods : Wide-angle SS-OCT, OCT circumpapillary retinal nerve fiber layer (cpRNFL) circle scans spectral-domain (SD)-OCT, standard automated perimetry (SAP), and frequency doubling technology (FDT) visual field tests were completed every 3 months for 2 years from a cohort of 28 ...
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      Mentions: UCSD Robert N. Weinreb Christopher Bowd

    8. Comparing optical coherence tomography radial and cube scan patterns for measuring Bruch's membrane opening minimum rim width (BMO-MRW) in glaucoma and healthy eyes: cross-sectional and longitudinal analysis

      Explore BJO Online Ophthalmology
      Comparing optical coherence tomography radial and cube scan patterns for measuring Bruch's membrane opening minimum rim width (BMO-MRW) in glaucoma and healthy eyes: cross-sectional and longitudinal analysis
      Aim To compare the cube and radial scan patterns of the spectral domain optical coherence tomography (SD-OCT) for quantifying the Bruch's membrane opening minimum rim width (BMO-MRW). Methods Sixty healthy eyes and 189 glaucomatous eyes were included. The optic nerve head cube and radial pattern scans were acquired using Spectralis SD-OCT. BMO-MRWs were automatically delineated using the San Diego Automated Layer Segmentation Algorithm. The BMO-MRW diagnostic accuracy for glaucoma ...
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      Mentions: UCSD Robert N. Weinreb Christopher Bowd

    9. Estimating OCT Structural Measurement Floors to Improve Detection of Progression In Advanced Glaucoma

      Explore Elsevier Health Ophthalmology
      Estimating OCT Structural Measurement Floors to Improve Detection of Progression In Advanced Glaucoma
      Purpose Floor effects in retinal imaging are defined as the points at which no further structural loss can be detected. We estimated the measurement floors for spectral-domain optical coherence tomography (SD-OCT) measurements and compared global change over time in advanced glaucoma eyes. Design Validity study to investigate measurement floors. Methods A longitudinal Variability Group of 41 eyes with moderate to advanced glaucoma (SAP MD -8 dB) was used to estimate ...
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      Mentions: UCSD Robert N. Weinreb Christopher Bowd

    10. A hierarchical framework for estimating neuroretinal rim area using 3D spectral domain optical coherence tomography (SD-OCT) optic nerve head (ONH) images of healthy and glaucoma eyes

      Explore IEEE Xplore Ophthalmology
      A hierarchical framework for estimating neuroretinal rim area using 3D spectral domain optical coherence tomography (SD-OCT) optic nerve head (ONH) images of healthy and glaucoma eyes
      Glaucoma is a chronic neurodegenerative disease characterized by loss of retinal ganglion cells, resulting in distinctive changes in the optic nerve head (ONH) and retinal nerve fiber layer (RNFL). Important advances in technology for non-invasive imaging of the eye have been made providing quantitative tools to measure structural changes in ONH topography, a crucial step in diagnosing and monitoring glaucoma. 3D spectral domain optical coherence tomography (SD-OCT), an optical imaging ...
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      Mentions: Heidelberg Engineering UCSD Robert N. Weinreb

    12. Pattern electroretinogram association with spectral domain-OCT structural measurements in glaucoma

      Explore Nature Publishing Group Ophthalmology
      Pattern electroretinogram association with spectral domain-OCT structural measurements in glaucoma
      Purpose To describe the association between pattern electroretinogram (PERG) amplitude and spectral domain-optical coherence tomography (SD-OCT) macular thickness, retinal nerve fibre layer (RNFL) thickness and optic disc topography measurements. Subjects and methods Both eyes (n=132) of 66 glaucoma patients (mean age=67.9 years) enroled in the University of California, San Diego, CA, USA, Diagnostic Innovations in Glaucoma Study (DIGS) were included. Eyes were tested with PERG (Glaid PERGLA ...
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      Mentions: Optovue UCSD Robert N. Weinreb

    13. Agreement Among Spectral-Domain Optical Coherence Tomography Instruments for Assessing Retinal Nerve Fiber Layer Thickness

      Explore American Journal of Ophthalmology Ophthalmology
      Agreement Among Spectral-Domain Optical Coherence Tomography Instruments for Assessing Retinal Nerve Fiber Layer Thickness
      Purpose:: To assess the agreement of parapapillary retinal nerve fiber layer (RNFL) thickness measurements among 3 spectral-domain optical coherence tomography (SD-OCT) instruments.Design:: Observational, cross-sectional study.Methods:: Three hundred thirty eyes (88 with glaucoma, 206 glaucoma suspects, 36 healthy) from 208 individuals enrolled in the Diagnostic Innovations in Glaucoma Study (DIGS) were imaged using RTVue, Spectralis and Cirrus in a single visit. Agreement among RNFL thickness measurements was assessed using ...
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      Mentions: Universidade Federal de São Paulo L V Prasad Eye Institute Optovue

    16. Agreement between spectral-domain and time-domain OCT for measuring RNFL thickness

      Explore BJO Online Ophthalmology
      Background/aims: To evaluate spectral-domain (SD) optical coherence tomography (OCT) reproducibility and assess the agreement between SD-OCT and Time-Domain (TD) OCT retinal nerve fibre layer (RNFL) measurements. Methods: Three Cirrus-SD-OCT scans and one Stratus-TD-OCT scan were obtained from Diagnostic Innovations in Glaucoma Study (DIGS) healthy participants and glaucoma patients on the same day. Repeatability was evaluated using Sw (within-subject standard deviation), CV (coefficient of variation) and ICC (intraclass correlation coefficient ...
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      Mentions: Carl Zeiss Meditec UCSD Robert N. Weinreb
    17. 1-15 of 22 1 2 »
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  4. About Christopher Bowd

    Christopher Bowd

    Christoper Bowd is Associate Research Scientist at the Hamilton Glaucoma Center, Department of Ophthalmology, University of California, San Diego in La Jolla, Calif. His research interests include development and evaluation of optical imaging techniques for the early detection and monitoring of glaucoma, and machine learning classifier analysis of imaging and psychophysical testing data.

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