Patents by Inventor Ragui IBRAHIM

Ragui IBRAHIM has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for determining atherosclerotic pathological tissue types in a coronary artery OCT image using trained engines
    Patent number: 12616370
    Abstract: There is described a system for determining an atherosclerotic pathological tissue type of a coronary artery, the system comprising: an optical coherence tomography (OCT) imaging system being configured for acquiring an OCT image of tissue within said coronary artery; and a controller configured for: using a trained fully convolutional engine stored on said memory and having a plurality of convolutional layers with respective dilation rates different than unity, extracting pathological tissues regardless their type in at least a region of interest of said OCT image; using a trained auto-encoder classification engine stored on said memory and having a layer characterized with a sparsity regularization parameter, determining an atherosclerotic pathological tissue type associated to said region of interest of said OCT image based on said extracted pathological tissues; and outputting said atherosclerotic pathological tissue type of said coronary artery.
    Type: Grant
    Filed: October 5, 2021
    Date of Patent: May 5, 2026
    Assignee: L'ÉCOLE DE TECHNOLOGIE SUPERIEURE
    Inventors: Atefeh Abdolmanafi, Luc Duong, Nagib Dahdah, Ragui Ibrahim
  • SYSTEM AND METHOD FOR DETERMINING ATHEROSCLEROTIC PATHOLOGICAL TISSUE TYPES IN A CORONARY ARTERY OCT IMAGE USING TRAINED ENGINES
    Publication number: 20230371816
    Abstract: There is described a system for determining an atherosclerotic pathological tissue type of a coronary artery, the system comprising: an optical coherence tomography (OCT) imaging system being configured for acquiring an OCT image of tissue within said coronary artery; and a controller configured for: using a trained fully convolutional engine stored on said memory and having a plurality of convolutional layers with respective dilation rates different than unity, extracting pathological tissues regardless their type in at least a region of interest of said OCT image; using a trained auto-encoder classification engine stored on said memory and having a layer characterized with a sparsity regularization parameter, determining an atherosclerotic pathological tissue type associated to said region of interest of said OCT image based on said extracted pathological tissues; and outputting said atherosclerotic pathological tissue type of said coronary artery.
    Type: Application
    Filed: October 5, 2021
    Publication date: November 23, 2023
    Inventors: Atefeh ABDOLMANAFI, Luc DUONG, Nagib DAHDAH, Ragui IBRAHIM