1. Case Western Reserve University

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    1. Mentioned In 312 Articles

    2. 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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    3. 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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    4. 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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    5. 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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    6. 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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    7. 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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    8. 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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    9. 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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    10. 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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    11. 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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    12. Polarization sensitive optical coherence tomography using multiple polarization sensitive semiconductor optical amplifiers

      Polarization sensitive optical coherence tomography using multiple polarization sensitive semiconductor optical amplifiers
      This disclosure relates to an OCT apparatus configured to generate to electromagnetic (e.g., optical) signals having two different polarization states. Two or more silicon optical amplifiers (SOAs) can be configured to maintain a respective polarization state in an optical input signal provided from a light source (e.g., a broadband light source). The different polarization states can be combined by an optical combiner (e.g., a polarization maintaining fiber ...
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    13. Automated intravascular plaque classification

      Automated intravascular plaque classification
      Methods and apparatus automatically classify intravascular plaque using features extracted from intravascular optical coherence tomography (IVOCT) imagery. One example apparatus includes an image acquisition circuit that accesses a set of IVOCT images, a pre-processing circuit that generates a blood vessel mask based on the IVOCT images, a feature extraction circuit that defines a three dimensional (3D) volume of interest centered on a location in a member of the set of ...
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    14. Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets

      Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets
      We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravascular optical coherence tomography (IVOCT) images using a comprehensive set of handcrafted features. We incorporated features developed in previous studies (e.g., optical attenuation and A-line peaks). In addition, we included vascular lumen morphology and three-dimensional (3-D) digital edge and texture features. Classification methods were developed using expansive datasets (7000images), consisting of both clinical in-vivo images and an ...
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    15. Optical coherence tomography diagnostic signs in posterior uveitis

      Optical coherence tomography diagnostic signs in posterior uveitis
      A diagnostic sign refers to a quantifiable biological parameter that is measured and evaluated as an indicator of normal biological, pathogenic, or pharmacologic responses to a therapeutic intervention. When used in translational research discussions, the term itself often alludes to a signs used to accelerate or aid in diagnosis or monitoring and provide insight into personalized medicine. Many new diagnostic signs are being developed that involve imaging technology. Optical coherence ...
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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).