Patents by Inventor Girijesh Yadava

Girijesh Yadava 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 reducing high density artifacts in computed tomography imaging
    Patent number: 9074986
    Abstract: An imaging system includes a rotatable gantry for receiving an object to be scanned, a generator configured to energize an x-ray source to generate x-rays, a detector positioned to receive the x-rays that pass through the object, and a computer. The computer is programmed to obtain knowledge of a metal within the object, scan the object using system scanning parameters, reconstruct an image of the object using a reconstruction algorithm, and automatically select at least one of the system scanning parameters and the reconstruction algorithm based on the obtained knowledge.
    Type: Grant
    Filed: May 2, 2013
    Date of Patent: July 7, 2015
    Assignee: General Electric Company
    Inventors: Debashish Pal, Jiang Hsieh, Paavana Sainath, Girijesh Yadava, Brian Edward Nett
  • SYSTEM AND METHOD FOR REDUCING HIGH DENSITY ARTIFACTS IN COMPUTED TOMOGRAPHY IMAGING
    Publication number: 20140328450
    Abstract: An imaging system includes a rotatable gantry for receiving an object to be scanned, a generator configured to energize an x-ray source to generate x-rays, a detector positioned to receive the x-rays that pass through the object, and a computer. The computer is programmed to obtain knowledge of a metal within the object, scan the object using system scanning parameters, reconstruct an image of the object using a reconstruction algorithm, and automatically select at least one of the system scanning parameters and the reconstruction algorithm based on the obtained knowledge.
    Type: Application
    Filed: May 2, 2013
    Publication date: November 6, 2014
    Applicant: General Electric Company
    Inventors: Debashish Pal, Jiang Hsieh, Paavana Sainath, Girijesh Yadava, Brian Edward Nett