1. Joel S. Schuman

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    1. Mentioned In 121 Articles

    2. Individual A-scan Signal Normalization Between Two Spectral Domain Optical Coherence Tomography Devices

      Individual A-scan Signal Normalization Between Two Spectral Domain Optical Coherence Tomography Devices

      Purpose: To develop a method to normalize optical coherence tomography (OCT) signal profiles from two spectral-domain (SD-) OCT devices so that the comparability between devices increases. Methods: Twenty-one eyes from 14 healthy and 7 glaucoma subjects were scanned with two SD-OCT devices on the same day with equivalent cube scan patterns centered on the fovea (Cirrus HD-OCT, Carl Zeiss Meditec, Dublin, CA; and RTVue, Optovue, Fremont, CA). Foveola positions were manually selected and used as the center for registration of the corresponding images. A-scan signals were sampled 1.8 mm from the foveola in the temporal, superior, nasal and inferior ...

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    3. Normalization Of Retinal Nerve Fiber Layer Thickness Measurements Made By Time DOMAIN-OPTICAL Coherence Tomography

      Normalization Of Retinal Nerve Fiber Layer Thickness Measurements Made By Time DOMAIN-OPTICAL Coherence Tomography

      A scan location matching (SLM) method identifies conventional time domain optical coherence tomography (TD-OCT) circle scan locations within three-dimensional spectral domain OCT scan volumes. A technique uses both the SLM algorithm and a mathematical retinal nerve fiber bundle distribution (RNFBD) model, which is a simplified version of the anatomical retinal axon bundle distribution pattern, to normalize TD-OCT thickness measurements for the retinal nerve fiber layer (RNFL) of an off-centered TD-OCT circle scan to a virtual location, centered on the optic nerve head. The RNFBD model eliminates scan-to-scan RNFL thickness measurement variation caused by manual placement of TD-OCT circle scan.

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    4. Three-Dimensional Spectral-Domain Optical Coherence Tomography Data Analysis for Glaucoma Detection

      Three-Dimensional Spectral-Domain Optical Coherence Tomography Data Analysis for Glaucoma Detection

      Purpose To develop a new three-dimensional (3D) spectral-domain optical coherence tomography (SD-OCT) data analysis method using a machine learning technique based on variable-size super pixel segmentation that efficiently utilizes full 3D dataset to improve the discrimination between early glaucomatous and healthy eyes. Methods 192 eyes of 96 subjects (44 healthy, 59 glaucoma suspect and 89 glaucomatous eyes) were scanned with SD-OCT. Each SD-OCT cube dataset was first converted into 2D feature map based on retinal nerve fiber layer (RNFL) segmentation and then divided into various number of super pixels. Unlike the conventional super pixel having a fixed number of points ...

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    5. Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction

      Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction

      We develop an automated method to determine the foveola location in macular 3D-OCT images in either healthy or pathological conditions. Structural Support Vector Machine (S-SVM) is trained to directly predict the location of the foveola, such that the score at the ground truth position is higher than that at any other position by a margin scaling with the associated localization loss. This S-SVM formulation directly minimizes the empirical risk of localization error, and makes efficient use of all available training data. It deals with the localization problem in a more principled way compared to the conventional binary classifier learning that ...

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    6. High Dynamic Range (HDR) Imaging Concept Based Signal Enhancement Method Reduced the Optical Coherence Tomography (OCT) Measurement Variability

      High Dynamic Range (HDR) Imaging Concept Based Signal Enhancement Method Reduced the Optical Coherence Tomography (OCT) Measurement Variability

      Purpose: To develop and test a novel signal enhancement method for optical coherence tomography (OCT) images based on the high dynamic range (HDR) processing concept. Methods: Three virtual channels, which represent low, medium, and high signal components, were produced for each OCT signal dataset. The dynamic range of each signal component was normalized to the full gray scale range. Finally, the three components were recombined into one image using various weights. Fourteen eyes of 14 healthy volunteers were scanned multiple times using time-domain (TD-) OCT before and while preventing blinking in order to produce a wide variety of signal strength ...

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    7. Inflammatory response to intravitreal injection of gold nanorods

      Inflammatory response to intravitreal injection of gold nanorods

      Aim To evaluate the utility of gold nanorods (AuNRs) as a contrast agent for ocular optical coherence tomography (OCT). Methods Mice were intravitreally injected with sterile AuNRs coated with either poly(strenesulfate) (PSS-AuNRs) or anti-CD90.2 antibodies (Ab-AuNRs), and imaged using OCT. After 24 h, eyes were processed for transmission electron microscopy or rendered into single cell suspensions for flow cytometric analysis to determine absolute numbers of CD45 + leukocytes and subsets (T cells, myeloid cells, macrophages, neutrophils). Generalised estimation equations were used to compare cell counts between groups. Results PSS-AuNRs and Ab-AuNRs were visualised in the vitreous 30 min and ...

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    8. Macula assessment using optical coherence tomography for glaucoma diagnosis

      Macula assessment using optical coherence tomography for glaucoma diagnosis
      Optical coherence tomography (OCT) is an interferometry-based imaging modality that generates high-resolution cross-sectional images of the retina. Circumpapillary retinal nerve fibre layer (cpRNFL) and optic disc assessments are the mainstay of glaucomatous structural measurements. However, because these measurements are not always available or precise, it would be useful to have another reliable indicator. The macula has been suggested as an alternative scanning location for glaucoma diagnosis. Using time-domain (TD) OCT, macular measurements have been shown to provide good glaucoma diagnostic capabilities. Performance of cpRNFL measurement was generally superior to macular assessment. However, macular measurement showed better glaucoma diagnostic performance and ...
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    9. OHSU Casey Eye Institute Inventor Dr. David Huang Earns International Award for Advances in Eye Imaging

      OHSU Casey Eye Institute Inventor Dr. David Huang Earns International Award for Advances in Eye Imaging
      ....D., M.B.A., dean and professor of ophthalmology, Keck School of Medicine, University of Southern California; Joel Schuman, M.D., Eye and Ear Foundation Professor and Chairman of Ophthalmology, University of Pittsburgh S...
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    10. MIT Researchers Dr. James Fujimoto and Mr. Eric Swanson Awarded the 2012 António Champalimaud Vision Award

      MIT Researchers Dr. James Fujimoto and Mr. Eric Swanson Awarded the 2012 António Champalimaud Vision Award
      ...USC; David Huang, MD, the Weeks Professor of Ophthalmic Research at Oregon Health and Science University; and Joel S. Schuman, MD, the Eye & Ear Foundation Professor and Chairman in the Department of Ophthalmology at the...
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    11. Joel S. Schuman, M.D., Part of Team Receiving António Champalimaud Vision Award

      Joel S. Schuman, M.D., Part of Team Receiving António Champalimaud Vision Award
      ...re Research and Development of Eye Imaging Technology A multicenter and multidisciplinary team that includes Joel S. Schuman, M.D., F.A.C.S., Eye & Ear Foundation Professor and chair, Department of Ophthalmology, Univer...
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  2. About Joel S. Schuman

    Joel S. Schuman

    Joel S. Schuman, M.D. is a native of Roslyn, NY; he graduated Columbia University (AB, 1980) and Mt. Sinai School of Medicine (MD, 1984). Following internship at New York’s Beth Israel Medical Center (1985), he completed residency training at Medical College of Virginia (1988) and glaucoma fellowship at Massachusetts Eye & Ear Infirmary (clinical 1989, research 1990), where he was a Heed fellow. After just over a year on the Harvard faculty, he moved to New England Medical Center, Tufts University to co-found New England Eye Center in 1991, where he was Residency Director and Glaucoma and Cataract Service Chief. In 1998 he became Professor of Ophthalmology, and Vice Chair in 2001.
    Dr. Schuman, is the Eye and Ear Foundation Professor and Chairman of Ophthalmology, the Eye and Ear Institute, University of Pittsburgh School of Medicine and Director of the University of Pittsburgh Medical Center (UPMC) Eye Center. He is also Professor of Bioengineering at the Swanson School of Engineering, University of Pittsburgh, and Professor in the Center for the Neural Basis of Cognition, Carnegie Mellon University and University of Pittsburgh and a member of the McGowan Institute for Regenerative Medicine. Dr. Schuman and his colleagues were the first to identify a molecular marker for human glaucoma, as published in Nature Medicine in 2001. He has been continuously funded by the National Eye Institute as a principal investigator since 1995, is principal investigator of a National Institutes of Health (NIH) grant to study novel glaucoma diagnostics, and is co-investigator of NIH grants for research into novel optical diagnostics and short pulse laser surgery and for advanced imaging in glaucoma. He is an inventor of optical coherence tomography (OCT), used world-wide for ocular diagnostics. Dr. Schuman has published more than 200 peer-reviewed scientific journal articles, has authored or edited 8 books, and has contributed more than 50 book chapters.

    Dr. Schuman is a founding member of the ARVO Multidisciplinary Ophthalmic Imaging cross-sectional group, served on the program committee from its founding and chairs the MOI program committee 2007-2008. He is also a founder and chair of ARVO/isie (The International Society for Imaging in the Eye, inaugurated 2002). Dr. Schuman was co-chair of the International Glaucoma Symposium 1998-2007, the world’s largest meeting devoted to glaucoma, which merged with the World Glaucoma Congress in 2007, for which he is Program co-Chair 2007-2011. With the exception of a three year hiatus, he has chaired the Hawaiian Eye meeting glaucoma section since 1993.

     

  3. Quotes

    1. I’m delighted by the Champalimaud Foundation’s recognition of our efforts...We continue to work on improving OCT and in the next decade, it could be as portable and easy to use as a standard ophthalmoscope.
      In Joel S. Schuman, M.D., Part of Team Receiving António Champalimaud Vision Award
    2. That gives the promise to better track progression to detect change over time, and that is really a big advance in terms of changes from time-domain OCT.
      In OCT devices increasingly finding use outside retinal practice
    3. You can look for characteristic nerve fiber layer abnormalities that are seen in glaucoma and these will show up as arcuate abnormalities — deviations from normal — on the deviation map of the spectral-domain OCT.
      In OCT devices increasingly finding use outside retinal practice
    4. With imaging we have much younger technology. The progression assessments with these technologies seem to be more sensitive than functional assessment, but they don't necessarily overlap with functional assessment or even with each other.
      In Better Glaucoma Progression Tracking
    5. I think that in future iterations we will be able to have focal assessment of change, looking at the overall trend as in regression, but also looking at event analysis, analogous to the GPA on visual field.
      In Better Glaucoma Progression Tracking