1. University of Bonn

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    1. Mentioned In 55 Articles

    2. Hyper-reflectivity on optical coherence tomography in macular telangiectasia type 2

      Hyper-reflectivity on optical coherence tomography in macular telangiectasia type 2
      Purpose: To define, characterize and classify hyper-reflectivity on optical coherence tomography (OCT) and report its prevalence in macular telangiectasia type 2 (MacTel). Methods: In a primary cross-sectional analysis, multimodal imaging data were retrospectively analyzed. The definition of hyper-reflectivity and neovascularization on OCT followed OCT-angiography-based criteria. Eyes were graded for the presence of hyper-reflectivity and neovascularization and further categorized into three classes based on position and extent of hyper-reflectivity. In a ...
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    3. Validation of an Automated Quantification of Relative Ellipsoid Zone Reflectivity on Spectral Domain-Optical Coherence Tomography Images

      Validation of an Automated Quantification of Relative Ellipsoid Zone Reflectivity on Spectral Domain-Optical Coherence Tomography Images
      Purpose : Relative ellipsoid zone reflectivity (rEZR) represents a potential biomarker of photoreceptor health on spectral-domain optical coherence tomography (SD-OCT). Because manual quantification of rEZR is laborious and lacks of spatial resolution, automated quantification of the rEZR would be beneficial. The purpose of this study was to evaluate the reliability and reproducibility of an automated rEZR quantification method. Methods : The rEZR was acquired using a manual and an automated approach in ...
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    4. Progression of Photoreceptor Degeneration in Geographic Atrophy Secondary to Age-related Macular Degeneration

      Progression of Photoreceptor Degeneration in Geographic Atrophy Secondary to Age-related Macular Degeneration
      Importance Sensitive outcome measures for disease progression are needed for treatment trials in geographic atrophy (GA) secondary to age-related macular degeneration (AMD). Objective To quantify photoreceptor degeneration outside regions of GA in eyes with nonexudative AMD, to evaluate its association with future GA progression, and to characterize its spatio-temporal progression. Design, Setting, and Participants Monocenter cohort study (Directional Spread in Geographic Atrophy [ NCT02051998 ]) and analysis of data from a normative ...
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    5. Artificial intelligence recognizes deteriorating photoreceptors

      Artificial intelligence recognizes deteriorating photoreceptors
      Software based on artificial intelligence (AI), which was developed by researchers at the Eye Clinic of the University Hospital Bonn, Stanford University and University of Utah, enables the precise assessment of the progression of geographic atrophy (GA), a disease of the light sensitive retina caused by age-related macular degeneration (AMD). This innovative approach permits the fully automated measurement of the main atrophic lesions using data from optical coherence tomography, which ...
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    6. OCT-Angiography in Geographic Atrophy

      OCT-Angiography in Geographic Atrophy
      Geographic atrophy (GA) represents the nonexudative late stage of age-related macular degeneration (AMD) and constitutes a leading cause of legal blindness in the developed world. It is characterized by areas of loss of outer retinal layers including photoreceptors, degeneration of the retinal pigment epithelium, and rarefication of the choriocapillaris. As all three layers are functionally connected, the precise temporal sequence and relative contribution of these layers towards the development and ...
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    7. Imaging of Therapeutic Effects of Anti-Vascular Endothelial Growth Factor Inhibitors by Optical Coherence Tomography Angiography in a Rat Model

      Imaging of Therapeutic Effects of Anti-Vascular Endothelial Growth Factor Inhibitors by Optical Coherence Tomography Angiography in a Rat Model
      Purpose : The aim of the study was to investigate optical coherence tomography angiography (OCTA) as a high-resolution in vivo imaging modality for monitoring therapeutic response to different vascular endothelial growth factor inhibitors in the rat model of laser-induced choroidal neovascularization (CNV). Further, OCTA findings were compared with fluorescein angiography (FA) and fluorescence microscopy. Methods : Laser treatment at day (D)0 was followed by intravitreal injection of aflibercept, AF564, and NaCl ...
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    8. Optical coherence tomography-angiography for monitoring neovascularisations in macular telangiectasia type 2

      Optical coherence tomography-angiography for monitoring neovascularisations in macular telangiectasia type 2
      Purpose To evaluate the utility of optical coherence tomography-angiography (OCT-A) for monitoring activity, progression and response to therapy of neovascularisations (NVs) secondary to macular telangiectasia type 2 (MacTel). Methods In a retrospective analysis, eyes with NVs secondary to MacTel were reviewed over a period of 8 months. Examinations at monthly intervals included visual acuity testing, dilated funduscopy, spectral domain-OCT and OCT-A. Eyes were treated with intravitreal VEGF (vascular endothelial growth ...
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    9. Replication and Refinement of an Algorithm for Automated Drusen Segmentation on Optical Coherence Tomography

      Replication and Refinement of an Algorithm for Automated Drusen Segmentation on Optical Coherence Tomography
      Here, we investigate the extent to which re-implementing a previously published algorithm for OCT-based drusen quantification permits replicating the reported accuracy on an independent dataset. We refined that algorithm so that its accuracy is increased. Following a systematic literature search, an algorithm was selected based on its reported excellent results. Several steps were added to improve its accuracy. The replicated and refined algorithms were evaluated on an independent dataset with ...
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    10. Automated thresholding algorithms outperform manual thresholding in macular optical coherence tomography angiography image analysis

      Automated thresholding algorithms outperform manual thresholding in macular optical coherence tomography angiography image analysis
      ... Bonn, Germany, between April and August 2018. Ethical approval was obtained from the ethics committee of the University of Bonn (approval ID 089/08) and informed consent was obtained from all study participants prior to...
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    11. Novel biomarker of sphericity and cylindricity indices in volume-rendering optical coherence tomography angiography in normal and diabetic eyes: a preliminary study

      Novel biomarker of sphericity and cylindricity indices in volume-rendering optical coherence tomography angiography in normal and diabetic eyes: a preliminary study
      Purpose Preliminary to evaluate geometric indices (vessel sphericity and cylindricity) for volume-rendered optical coherence tomography angiography (OCTA) in healthy and diabetic eyes. Methods Twenty-six eyes of 13 healthy subjects and 12 eyes of patients with central ischemic, non-proliferative diabetic retinopathy were included. OCTA volume and surface area of the foveal vessels were measured and compared to determine OCTA sphericity and cylindricity indices and surface efficiency (SE). Results The overall average ...
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    12. Validation of automated artificial intelligence segmentation of optical coherence tomography images

      Validation of automated artificial intelligence segmentation of optical coherence tomography images
      Purpose To benchmark the human and machine performance of spectral-domain (SD) and swept-source (SS) optical coherence tomography (OCT) image segmentation, i.e., pixel-wise classification, for the compartments vitreous, retina, choroid, sclera. Methods A convolutional neural network (CNN) was trained on OCT B-scan images annotated by a senior ground truth expert retina specialist to segment the posterior eye compartments. Independent benchmark data sets (30 SDOCT and 30 SSOCT) were manually segmented ...
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    13. Estimating Retinal Sensitivity Using Optical Coherence Tomography With Deep-Learning Algorithms in Macular Telangiectasia Type 2

      Estimating Retinal Sensitivity Using Optical Coherence Tomography With Deep-Learning Algorithms in Macular Telangiectasia Type 2
      Importance As currently used, microperimetry is a burdensome clinical testing modality for testing retinal sensitivity requiring long testing times and trained technicians. Objective To create a deep-learning network that could directly estimate function from structure de novo to provide an en face high-resolution map of estimated retinal sensitivity. Design, Setting, and Participants A cross-sectional imaging study using data collected between January 1, 2016, and November 30, 2017, from the Natural ...
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    14. Retinal imaging including OCT angiography for detecting active choroidal neovascularization in pseudoxanthoma elasticum

      Retinal imaging including OCT angiography for detecting active choroidal neovascularization in pseudoxanthoma elasticum
      Importance The diagnostic accuracy of different retinal imaging modalities to detect active choroidal neovascularization (CNV) in pseudoxanthoma elasticum (PXE) is essential to enable a correct diagnosis but currently poorly understood. Background Optical coherence tomography (OCT), fluorescein angiography (FA) and optical coherence tomography angiography (OCT‐A) are employed in daily practice but a systematic comparison of these imaging techniques is lacking. Design Retrospective, observational study. Participants Twenty patients (31 eyes) with ...
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    15. Optical coherence tomography angiography in intermediate uveitis

      Optical coherence tomography angiography in intermediate uveitis
      Purpose To investigate the involvement of the retinal and choriocapillaris microvasculature in intermediate uveitis on optical coherence tomography angiography (OCT-A) Design Case-control study Methods Patients and age-matched controls were imaged with swept-source OCT-A (PLEX Elite 9000, Zeiss). Using ImageJ superficial and deep retinal vasculature were semi-automatically analyzed for vessel (VD) and skeleton density (SD), vessel diameter index (VDI) and fractal dimension (FD). Choriocapillaris layer was automatically graded for mean signal ...
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  2. About University of Bonn

    University of Bonn

    University of Bonn was founded almost 200 years ago and is considered to be one of Germany's and indeed Europe's most important institutes of higher education. As home of learning to over 27,000 students, we enjoy an outstanding reputation both at home and abroad.  The University of Bonn is one of the world's leading research based Universities and therefore it is no surprise that we operate on an international level. We particularly specialize in the fields of research and teaching and this has led to our evolving into the position of a truly prominent international institution.