Patents by Inventor Andrew Lateef Abumoussa

Andrew Lateef Abumoussa 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).

  • Methods, systems, and computer readable media for processing digital subtraction angiography (DSA) and computed tomography (CT) images for reducing radiation exposure in DSA and CT subjects
    Patent number: 11640682
    Abstract: A method for processing digital subtraction angiography (DSA) or computed tomography (CT) images for reduced radiation exposure to a DSA or CT subject includes receiving, as input, a plurality of captured DSA or CT image frames of a contrast agent flowing through a volume of interest in a subject. The method further includes fitting a mathematical model to measured contrast agent density of individual voxels of the captured DSA or CT image frames to produce a mathematical model of contrast agent flow across the captured DSA or CT image frames. The method further includes sampling the mathematical model of contrast agent flow for the individual voxels to produce reconstructed DSA or CT image frames. The method further includes outputting at least one of the reconstructed CT or DSA image frames.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: May 2, 2023
    Assignee: The University of North Carolina at Chapel Hill
    Inventors: Andrew Lateef Abumoussa, Yueh Zenas Lee
  • METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR PROCESSING DIGITAL SUBTRACTION ANGIOGRAPHY (DSA) AND COMPUTED TOMOGRAPHY (CT) IMAGES FOR REDUCING RADIATION EXPOSURE IN DSA AND CT SUBJECTS
    Publication number: 20210027502
    Abstract: A method for processing digital subtraction angiography (DSA) or computed tomography (CT) images for reduced radiation exposure to a DSA or CT subject includes receiving, as input, a plurality of captured DSA or CT image frames of a contrast agent flowing through a volume of interest in a subject. The method further includes fitting a mathematical model to measured contrast agent density of individual voxels of the captured DSA or CT image frames to produce a mathematical model of contrast agent flow across the captured DSA or CT image frames. The method further includes sampling the mathematical model of contrast agent flow for the individual voxels to produce reconstructed DSA or CT image frames. The method further includes outputting at least one of the reconstructed CT or DSA image frames.
    Type: Application
    Filed: March 22, 2019
    Publication date: January 28, 2021
    Inventors: Andrew Lateef Abumoussa, Yueh Zenas Lee