1. Case Western Reserve University

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    1. Mentioned In 316 Articles

    2. Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image Segmentation

      Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image Segmentation
      Deep learning based methods are routinely used to segment various structures of interest in varied medical imaging modalities. Acquiring annotations for a large number of images requires a skilled analyst, and the process is both time consuming and challenging. Our approach to reduce effort is to reduce the number of images needing detailed annotation. For intravascular optical coherence tomography (IVOCT) image pullbacks, we tested 10% to 100% of training images ...
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    3. Optically Empty Choroidal Spaces In High Hyperopia

      Optically Empty Choroidal Spaces In High Hyperopia
      Purpose: To describe the progressive optical coherence tomography findings of atypical choroidal cavitation in the inner choroid. Methods: Case report. Results: A 29-year-old asymptomatic woman was noted to display two flat translucent whitish subretinal lesions along the superotemporal arcade of the right eye, during routine retinal examination. Cross-sectional spectral domain optical coherence tomography of the choroid illustrated two hyporeflective lesions consistent with atypical choroidal cavitation of the Sattler layer, associated ...
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    4. Standardization of optical coherence tomography angiography nomenclature in retinal vascular diseases: first survey results

      Standardization of optical coherence tomography angiography nomenclature in retinal vascular diseases: first survey results
      Purpose: To develop a consensus nomenclature for optical coherence tomography angiography (OCTA) findings in retinal vascular diseases. Design: Online survey using Delphi Method SUBJECTS, PARTICIPANTS AND/OR CONTROLS: Members of The Retina Society, European Society of Retina Specialists (EURETINA) and the Japanese Retina and Vitreous Society (JRVS). Methods, intervention, or testing: An online questionnaire on OCTA terminology in retinal vascular diseases was sent to members of The Retina Society, EURETINA ...
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    5. Comparison of SDOCT Scan Types for Grading Disorganization of Retinal Inner Layers and Other Morphologic Features of Diabetic Macular Edema

      Comparison of SDOCT Scan Types for Grading Disorganization of Retinal Inner Layers and Other Morphologic Features of Diabetic Macular Edema
      Purpose : To assess grading reproducibility of disorganization of the retinal inner layers (DRIL) and other morphologic features of diabetic macular edema (DME) across spectral domain optical coherence tomography (SDOCT) instruments and scan types. Methods : A cross-sectional study enrolled participants with current or recent center-involved DME. In group A (27 eyes), we obtained two Cirrus scans (512 128 macular cube [Cube] and high-definition five-line raster [HD 5-Line]) and two Spectralis scans ...
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    6. Standardisation of optical coherence tomography angiography nomenclature in uveitis: first survey results

      Standardisation of optical coherence tomography angiography nomenclature in uveitis: first survey results
      Aim To standardise the nomenclature for reporting optical coherence angiography (OCT-A) findings in the field of uveitis. Methods Members of the International Uveitis Study Group, of the American Uveitis Society and of the Sociedad Panamericana de Infermedades Oculares that choose to participate responded to an online questionnaire about their preferred terminology when reporting on OCT-A findings in uveitis. The response of individuals with several publications on OCT-A (experts) was compared ...
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    7. Case Western Reserve University Receives NIH Grant for Computer Assisted Coronary Artery Stent Interventions

      Case Western Reserve University Receives NIH Grant for Computer Assisted Coronary Artery Stent Interventions
      ... will build on expertise in interventions, quantitative image analysis of IVOCT, and finite element modeling. Case Western Reserve University Receives a 2020 NIH Grant for $727,994 for Computer Assisted Coronary Artery S...
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    8. Imaging of Atrioventricular Nodal Conduction Tissue in Porcine Hearts Using Optical Coherence Tomography

      Imaging of Atrioventricular Nodal Conduction Tissue in Porcine Hearts Using Optical Coherence Tomography
      Optical coherence tomography (OCT) employs near-infrared light to image the microstructure of different tissues. Clinically, it has been used to image the walls of coronary arteries. In research settings, one of the applications for OCT is visualizing endocardial and subendocardial structures. The present experiment sought to determine whether OCT can identify native conduction tissues in adult porcine hearts. During the study, the right atrial endocardial surfaces of excised adult porcine ...
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    9. Wide-field optical coherence tomography angiography for the detection of proliferative diabetic retinopathy

      Wide-field optical coherence tomography angiography for the detection of proliferative diabetic retinopathy
      Purpose To compare the ability of wide-field optical coherence tomography angiography (WF-OCTA) to that of ultra-wide field fluorescein angiography (UWF-FA) and ultra-wide-field color fundus photography (UWF-CP) to detect retinal neovascularization (NV) in eyes with proliferative diabetic retinopathy (PDR). Methods In this cross-sectional study, nave patients with active PDR underwent UWF-FA and UWF-CP using the Optos 200Tx and WF-OCTA with 1212 mm fields of five visual fixations using the PLEX Elite ...
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    10. Intracardiac radiofrequency ablation in living swine guided by polarization-sensitive optical coherence tomography

      Intracardiac radiofrequency ablation in living swine guided by polarization-sensitive optical coherence tomography
      Significance: Pulmonary vein isolation with catheter-based radiofrequency ablation (RFA) is carried out frequently to treat atrial fibrillation. However, RFA lesion creation is only guided by indirect information (e.g., temperature, impedance, and contact force), which may result in poor lesion quality (e.g., nontransmural) and can lead to reoccurrence or complications. Aim: The feasibility of guiding intracardiac RFA with an integrated polarization-sensitive optical coherence tomography (PSOCT)-RFA catheter in the ...
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    11. Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features

      Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features
      For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterization method that used a hybrid learning approach, which combined deep-learning convolutional and hand-crafted, lumen morphological features. Processing was done on innate A-line units with labels fibrolipidic (fibrous tissue followed by lipidous tissue), fibrocalcific (fibrous tissue followed by calcification), or other. We trained/tested on an expansive data set (6,556 images), and performed an active learning, relabeling step ...
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    12. Application and Evaluation of Highly Automated Software for Comprehensive Stent Analysis in Intravascular Optical Coherence Tomography

      Application and Evaluation of Highly Automated Software for Comprehensive Stent Analysis in Intravascular Optical Coherence Tomography
      Intravascular optical coherence tomography (IVOCT) is used to assess stent tissue coverage and malapposition in stent evaluation trials. We developed the OCT Image Visualization and Analysis Toolkit for Stent (OCTivat-Stent), for highly automated analysis of IVOCT pullbacks. Algorithms automatically detected the guidewire, lumen boundary, and stent struts; determined the presence of tissue coverage for each strut; and estimated the stent contour for comparison of stent and lumen area. Strut-level tissue ...
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    13. Biophotonic Investigation of Cardiac Structure and Hemodynamics During Embryogenesis Using Optical Coherence Tomography (Thesis)

      Biophotonic Investigation of Cardiac Structure and Hemodynamics During Embryogenesis Using Optical Coherence Tomography (Thesis)
      Congenital heart disease/defects (CHDs) account for approximately one-third of all birth defects globally. Many of these will require invasive treatment within the first year of life, subsequent interventions, and a lifetime of monitoring. Alcohol has been known as a teratogen for several decades, and prenatal exposure alone is a significant cause of worldwide CHDs. Optical Coherence Tomography (OCT) has been used as an imaging modality for nearly three decades ...
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    14. Optical Coherence Tomography-Based Modeling of Stent Deployment in Heavily Calcified Coronary Lesion

      Optical Coherence Tomography-Based Modeling of Stent Deployment in Heavily Calcified Coronary Lesion
      In this work, a heavily calcified coronary artery model was reconstructed from optical coherence tomography (OCT) images to investigate the impact of calcification characteristics on stenting outcomes. The calcification was quantified at various cross sections in terms of angle, maximum thickness, and area. The stent deployment procedure, including the crimping, expansion, and recoil, was implemented. The influence of calcification characteristics on stent expansion, malapposition, and lesion mechanics was characterized. Results ...
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    15. Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images

      Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images
      Accurate identification of coronary plaque is very important for cardiologists when treating patients with advanced atherosclerosis. We developed fully-automated semantic segmentation of plaque in intravascular OCT images. We trained/tested a deep learning model on a folded, large, manually annotated clinical dataset. The sensitivities/specificities were 87.4%/89.5% and 85.1%/94.2% for pixel-wise classification of lipidous and calcified plaque, respectively. Automated clinical lesion metrics, potentially useful ...
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  2. About Case Western Reserve University

    Case Western Reserve University

    Case Western Reserve University. Case Western Reserve University is a private research university located in Cleveland, Ohio, United States, with some residence halls on the south end of campus located in Cleveland Heights. Biophotonics Imaging Laboratory at Case Western Reserve University.   Here at the BIL our researchers focus on the development of optical imaging technologies with focus on the development of solutions to specific clinical or research applications. Our primary tool of optical imaging is optical coherence tomography (OCT).