Patents by Inventor Kuldeep Makhija

Kuldeep Makhija 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).

  • Patent number: 10773103
    Abstract: A method of real-time markerless measurement and calibration of a patient positioning system includes computing a three dimensional point cloud representation of a patient by using a camera to obtain depth points of the patient, where the z-direction corresponds to a direction along the focal length of the camera, demanding a z-limit that corresponds to a lower (z-min) and an upper (z-max) specification, computing a point cloud covariance and a point cloud mean for an optimized principle components analysis to compute a torso topography of the patient, determining a center point of the point cloud as an anchor measurement region and using the camera to determine a distance to the patient to establish an angle between a patient torso and a vector that is perpendicular to the camera, averaging the depth measurements in reference regions and compensating for parallax error in real-time during a calibration measurement or radiotherapy treatment plan.
    Type: Grant
    Filed: July 6, 2017
    Date of Patent: September 15, 2020
    Assignee: Opus Medical Pty Ltd
    Inventors: Ricky O'Brien, Kuldeep Makhija, Daniel Nicholas Zafir, Thomas Christopher Wolfgang Landgrebe, Peter Horsley, Sean Pollock, Paul J. Keall
  • Publication number: 20190209871
    Abstract: A method of real-time markerless measurement and calibration of a patient positioning system includes computing a three dimensional point cloud representation of a patient by using a camera to obtain depth points of the patient, where the z-direction corresponds to a direction along the focal length of the camera, demanding a z-limit that corresponds to a lower (z-min) and an upper (z-max) specification, computing a point cloud covariance and a point cloud mean for an optimized principle components analysis to compute a torso topography of the patient, determining a center point of the point cloud as an anchor measurement region and using the camera to determine a distance to the patient to establish an angle between a patient torso and a vector that is perpendicular to the camera, averaging the depth measurements in reference regions and compensating for parallax error in real-time during a calibration measurement or radiotherapy treatment plan.
    Type: Application
    Filed: July 6, 2017
    Publication date: July 11, 2019
    Applicant: RESPIRATORY INNOVATIONS PTY LTD
    Inventors: Ricky O'Brien, Kuldeep Makhija, Daniel Nicholas Zafir, Landgrebe Wolfgang Christopher Thomas, Peter Horsley, Sean Pollock, Paul J. Keall