1. Georgia Institute of Technology

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    1. Mentioned In 16 Articles

    2. Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid–structure interaction models and machine learning methods with patient follow-up data: a feasibility study

      Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid–structure interaction models and machine learning methods with patient follow-up data: a feasibility study
      Background Coronary plaque vulnerability prediction is difficult because plaque vulnerability is non-trivial to quantify, clinically available medical image modality is not enough to quantify thin cap thickness, prediction methods with high accuracies still need to be developed, and gold-standard data to validate vulnerability prediction are often not available. Patient follow-up intravascular ultrasound (IVUS), optical coherence tomography (OCT) and angiography data were acquired to construct 3D fluidstructure interaction (FSI) coronary models ...
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    3. Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study

      Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study
      Background: Detecting coronary vulnerable plaques in vivo and assessing their vulnerability have been great challenges for clinicians and the research community. Intravascular ultrasound (IVUS) is commonly used in clinical practice for diagnosis and treatment decisions. However, due to IVUS limited resolution (about 150-200 m), it is not sufficient to detect vulnerable plaques with a threshold cap thickness of 65 m. Optical Coherence Tomography (OCT) has a resolution of 15-20 m ...
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    4. Machine Leaning Model Comparison for Automatic Segmentation of Intracoronary Optical Coherence Tomography and Plaque Cap Thickness Quantification

      Machine Leaning Model Comparison for Automatic Segmentation of Intracoronary Optical Coherence Tomography and Plaque Cap Thickness Quantification
      Optical coherence tomography (OCT) is a new intravascular imaging technique with high resolution and could provide accurate morphological information for plaques in coronary arteries. However, its segmentation is still commonly performed manually by experts which is time consuming. The aim of this study was to develop automatic techniques to characterize plaque components and quantify plaque cap thickness using 3 machine learning methods including convolutional neural network (CNN) with U-Net architecture ...
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    5. Georgia Institute of Technology Receives NIH Grant for Stimulated Raman Scattering Spectroscopic Optical Coherence Tomography (SRS-SOCT) for Label-Free Molecular Imaging of Brain Tumor Pathology

      Georgia Institute of Technology Receives NIH Grant for Stimulated Raman Scattering Spectroscopic Optical Coherence Tomography (SRS-SOCT) for Label-Free Molecular Imaging of Brain Tumor Pathology
      ...l to increase the success rate of neurosurgery and prolong survival for patients with malignant brain tumors. Georgia Institute of Technology Receives a 2020 NIH Grant for $233,796 for Stimulated Raman Scattering Spectro...
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    6. Topography and pachymetry maps for mouse corneas using optical coherence tomography

      Topography and pachymetry maps for mouse corneas using optical coherence tomography
      The majority of the eye's refractive power lies in the cornea, and pathological changes in its shape can affect vision. Small animal models offer an unparalleled degree of control over genetic and environmental factors that can help elucidate mechanisms of diseases affecting corneal shape. However, there is not currently a method to characterize the corneal shape of small animal eyes with topography or pachymetry maps, as is done clinically ...
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    7. Georgia Institute of Technology Receives NIH Grant for Stimulated Raman Scattering Spectroscopic Optical Coherence Tomography (SRS-SOCT) for Label-Free Molecular Imaging of Brain Tumor Pathology

      Georgia Institute of Technology Receives NIH Grant for Stimulated Raman Scattering Spectroscopic Optical Coherence Tomography (SRS-SOCT) for Label-Free Molecular Imaging of Brain Tumor Pathology
      ...f neurosurgery and prolong survival for patients with malignant brain tumors.

      Georgia Institute of Technology Receives a 2019 NIH Grant for $182,900 for Stimulated Raman Scattering Spectro...

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    8. Integrated optical coherence tomography and multielement ultrasound transducer probe for shear wave elasticity imaging of moving tissues

      Integrated optical coherence tomography and multielement ultrasound transducer probe for shear wave elasticity imaging of moving tissues
      Accurate measurements of microelastic properties of soft tissues in-vivo using optical coherence elastography can be affected by motion artifacts caused by cardiac and respiratory cycles. This problem can be overcome using a multielement ultrasound transducer probe where each ultrasound transducer is capable of generating acoustic radiation force (ARF) and, therefore, creating shear waves in tissue. These shear waves, produced during the phase of cardiac and respiratory cycles when tissues are ...
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    9. Stimulated Raman scattering spectroscopic optical coherence tomography

      Stimulated Raman scattering spectroscopic optical coherence tomography
      We integrate spectroscopic optical coherence tomography (SOCT) with stimulated Raman scattering (SRS) to enable simultaneously multiplexed spatial and spectral imaging with sensitivity to many endogenous biochemical species that play an important role in biology and medicine. The combined approach, termed SRS-SOCT, overcomes the limitations of each individual method. Ultimately, SRS-SOCT has the potential to achieve fast, volumetric, and highly sensitive label-free molecular imaging. We demonstrate the approach by imaging excised ...
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    10. In-vivo Optical Measurement of Neural Activity in the Brain

      In-vivo Optical Measurement of Neural Activity in the Brain
      The optical neural recording techniques are promising tools in recent years. Compared to the traditional electrophysiological recording, the optical means offer several advantages including no inclusion of electrical noise, simultaneous imaging of a large number of neurons, or selective recording from genetically-targeted neurons. Overall the optical neural recording technique comprises the intrinsic and the extrinsic optical recordings. The methods for intrinsic neural recording employ the change of optical properties in ...
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    11. In vivo optic nerve head biomechanics: performance testing of a three-dimensional tracking algorithm

      In vivo optic nerve head biomechanics: performance testing of a three-dimensional tracking algorithm
      ...don, UK 6. ^6INSERM 1032, Université de Lyon, Lyon, France 7. ^7Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA, USA 1. e-mail: mgirard{a...
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    12. 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 ...
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    13. Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multiscale Texture and Shape Features

      Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multiscale Texture and Shape Features
      ...Fujimoto^6, 7. Joel S. Schuman^2,^3 and 8. James M. Rehg^1 1. From the ^1School of Interactive Computing, Georgia Institute of Technology, Atlanta, Georgia; 2. the ^2UPMC Eye Center, Eye and Ear Institute, Ophthalmol...
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    14. Optical Coherence Tomography Used $500M of Federally Funded Research Over The Past Decade: How was it Used, What was Accomplished, and What’s to Come?

      Optical Coherence Tomography Used $500M of Federally Funded Research Over The Past Decade: How was it Used, What was Accomplished, and What’s to Come?
      ..., INC. $3,000,000   VRIJE UNIVERSITEIT $264,516 MICRON OPTICS, INC. $2,843,255   GEORGIA INSTITUTE OF TECHNOLOGY $253,299 PURDUE UNIVERSITY WEST LAFAYETTE $2,839,964   UNIV...
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  2. About Georgia Institute of Technology

    Georgia Institute of Technology

    Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology.  Georgia Tech's campus occupies 400 acres in the heart of the city of Atlanta, where 20,000 undergraduate and graduate students receive a focused, technologically based education.