Patents by Inventor Aleksandr SINITCA

Aleksandr SINITCA 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).

  • Method for automatic segmentation of coronary sinus
    Patent number: 12354268
    Abstract: Method, executed by a computer, for identifying a coronary sinus of a patient, comprising: receiving a 3D image of a body region of the patient; extracting 2D axial images of the 3D image taken along respective axial planes, 2D sagittal images of the 3D image taken along respective sagittal planes, and 2D coronal images of the 3D image taken along respective coronal planes; applying an axial neural network to each 2D axial image to generate a respective 2D axial probability map, a sagittal neural network to each 2D sagittal image to generate a respective 2D sagittal probability map, and a coronal neural network to each 2D coronal image to generate a respective 2D coronal probability map; generating, based on the 2D probability maps, a 3D mask of the coronary sinus of the patient.
    Type: Grant
    Filed: June 22, 2022
    Date of Patent: July 8, 2025
    Assignee: XSPLINE S.P.A.
    Inventors: Mikhail Chmelevskii Petrovich, Aleksandr Sinitca, Anastasiia Fadeeva, Werner Rainer
  • METHOD FOR AUTOMATIC SEGMENTATION OF CORONARY SINUS
    Publication number: 20220414882
    Abstract: Method, executed by a computer, for identifying a coronary sinus of a patient, comprising: receiving a 3D image of a body region of the patient; extracting 2D axial images of the 3D image taken along respective axial planes, 2D sagittal images of the 3D image taken along respective sagittal planes, and 2D coronal images of the 3D image taken along respective coronal planes; applying an axial neural network to each 2D axial image to generate a respective 2D axial probability map, a sagittal neural network to each 2D sagittal image to generate a respective 2D sagittal probability map, and a coronal neural network to each 2D coronal image to generate a respective 2D coronal probability map; generating, based on the 2D probability maps, a 3D mask of the coronary sinus of the patient.
    Type: Application
    Filed: June 22, 2022
    Publication date: December 29, 2022
    Inventors: Mikhail CHMELEVSKII PETROVICH, Aleksandr SINITCA, Anastasiia FADEEVA, Werner RAINER