1. Articles from Ronny Shalev

    1-4 of 4
    1. Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography

      Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography

      An estimated 17.5 million people died from a cardiovascular disease in 2012, representing 31 percent of all global deaths. Most acute coronary events result from rupture of the protective fibrous cap overlying an atherosclerotic plaque. The task of early identification of plaque types that can potentially rupture is, therefore, of great importance. The state-of-the-art approach to imaging blood vessels is intravascular optical coherence tomography (IVOCT). However, currently, this is an offline approach where the images are first collected and then manually analyzed an image at a time to identify regions at risk of thrombosis. This process is extremely laborious ...

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    2. Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks

      Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks

      Analysis of intravascular optical coherence tomography (IVOCT) data has potential for real-time in vivo plaque classification. We developed a processing pipeline on a three-dimensional local region of support for estimation of optical properties of atherosclerotic plaques from coronary artery, IVOCT pullbacks. Using realistic coronary artery disease phantoms, we determined insignificant differences in mean and standard deviation estimates between our pullback analyses and more conventional processing of stationary acquisitions with frame averaging. There was no effect of tissue depth or oblique imaging on pullback parameter estimates. The method’s performance was assessed in comparison with observer-defined standards using clinical pullback data ...

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    3. Classification of calcium in intravascular OCT images for the purpose of intervention planning

      Classification of calcium in intravascular OCT images for the purpose of intervention planning

      The presence of extensive calcification is a primary concern when planning and implementing a vascular percutaneous intervention such as stenting. If the balloon does not expand, the interventionalist must blindly apply high balloon pressure, use an atherectomy device, or abort the procedure. As part of a project to determine the ability of Intravascular Optical Coherence Tomography (IVOCT) to aid intervention planning, we developed a method for automatic classification of calcium in coronary IVOCT images. We developed an approach where plaque texture is modeled by the joint probability distribution of a bank of filter responses where the filter bank was chosen ...

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    4. Parameter estimation of atherosclerotic tissue optical properties from three-dimensional intravascular optical coherence tomography

      Parameter estimation of atherosclerotic tissue optical properties from three-dimensional intravascular optical coherence tomography

      We developed robust, three-dimensional methods, as opposed to traditional A-line analysis, for estimating the optical properties of calcified, fibrotic, and lipid atherosclerotic plaques from in vivo coronary artery intravascular optical coherence tomography clinical pullbacks. We estimated attenuation μ t and backscattered intensity I 0 from small volumes of interest annotated by experts in 35 pullbacks. Some results were as follows: noise reduction filtering was desirable, parallel line (PL) methods outperformed individual line methods, root mean square error was the best goodness-of-fit, and α -trimmed PL ( α -T-PL) was the best overall method. Estimates of μ t were calcified ( 3.84 ± 0.95     mm − 1 ...

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    1-4 of 4
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  2. Topics in the News

    1. (4 articles) Case Western Reserve University
    2. (4 articles) David L. Wilson
    3. (4 articles) Hiram G. Bezerra
    4. (3 articles) Andrew M. Rollins
    5. (2 articles) Madhusudhana Gargesha
    6. (1 articles) National Research Council Canada
    7. (1 articles) Marco A. Costa
    8. (1 articles) Charles-Étienne Bisaillon
    9. (1 articles) Guy Lamouche
    10. (1 articles) Thomas Jefferson University
    11. (1 articles) Massachusetts General Hospital
    12. (1 articles) Polytechnique Montreal
    13. (1 articles) Wakayama Medical University
    14. (1 articles) Masamichi Takano
    15. (1 articles) Carol L. Shields
    16. (1 articles) Ik-Kyung Jang
    17. (1 articles) Theo Lasser
    18. (1 articles) Christoph Hauger
    19. (1 articles) Carl Zeiss Meditec
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    Parameter estimation of atherosclerotic tissue optical properties from three-dimensional intravascular optical coherence tomography Classification of calcium in intravascular OCT images for the purpose of intervention planning Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography Residual thrombus following plaque disruption contributes to rapid plaque progression: in-vivo serial optical coherence tomography imaging Pigmented Iris Lesion on Anterior-Segment Swept-Source Optical Coherence Tomography Corneal epithelial thickness analysis of forme fruste keratoconus with optical coherence tomography Saline as an alternative to radio-contrast for optical coherence tomography guided percutaneous coronary intervention: A prospective comparison Soliton microcomb based spectral domain optical coherence tomography Myocardial infarction with non-obstructive coronary arteries (MINOCA): Intracoronary imaging-based diagnosis and management Optical coherence tomography-guided percutaneous coronary intervention: a review of current clinical applications Initial Study for the Determination of the Sequence of Intersecting Lines between Gel Pens and Seals by Optical Coherence Tomography