Patents by Inventor Kamlesh PAWAR

Kamlesh PAWAR 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 and system of image reconstruction for magnetic resonance imaging
    Patent number: 11954823
    Abstract: A method and system for reconstructing magnetic resonance (MR) images, the method including the steps of: receiving an under-sampled MR image, the under-sampled MR image being transformed from under-sampled k-spaced data; classifying intensity of each pixel in the under-sampled MR image to one of a plurality of predetermined quantized values of intensity by using a neural network; and generating a reconstructed MR image based on the classified quantized value of the intensity for each pixel in the under-sampled MR image.
    Type: Grant
    Filed: May 14, 2019
    Date of Patent: April 9, 2024
    Assignee: Monash University
    Inventors: Kamlesh Pawar, Zhaolin Chen, Nadim Joni Shah, Gary Francis Egan
  • Method and system of motion correction for magnetic resonance imaging
    Patent number: 11842427
    Abstract: A method and system for reducing or removing motion artefacts in magnetic resonance (MR) images, the method including the steps of: receiving a motion corrupted MR image; determining a corrected intensity value for each pixel in the motion corrupted MR image by using a neural network; and generating a motion corrected MR image based on the determined corrected intensity values for the pixels in the motion corrupted MR image.
    Type: Grant
    Filed: May 14, 2019
    Date of Patent: December 12, 2023
    Inventors: Kamlesh Pawar, Zhaolin Chen, Nadim Joni Shah, Gary Francis Egan
  • METHOD AND SYSTEM OF IMAGE RECONSTRUCTION FOR MAGNETIC RESONANCE IMAGING
    Publication number: 20210224952
    Abstract: A method and system for reconstructing magnetic resonance (MR) images, the method including the steps of: receiving an under-sampled MR image, the under-sampled MR image being transformed from under-sampled k-spaced data; classifying intensity of each pixel in the under-sampled MR image to one of a plurality of predetermined quantized values of intensity by using a neural network; and generating a reconstructed MR image based on the classified quantized value of the intensity for each pixel in the under-sampled MR image.
    Type: Application
    Filed: May 14, 2019
    Publication date: July 22, 2021
    Inventors: Kamlesh PAWAR, Zhaolin CHEN, Nadim Joni SHAH, Gary Francis EGAN
  • METHOD AND SYSTEM OF MOTION CORRECTION FOR MAGNETIC RESONANCE IMAGING
    Publication number: 20210225047
    Abstract: A method and system for reducing or removing motion artefacts in magnetic resonance (MR) images, the method including the steps of: receiving a motion corrupted MR image; determining a corrected intensity value for each pixel in the motion corrupted MR image by using a neural network; and generating a motion corrected MR image based on the determined corrected intensity values for the pixels in the motion corrupted MR image.
    Type: Application
    Filed: May 14, 2019
    Publication date: July 22, 2021
    Inventors: Kamlesh PAWAR, Zhaolin CHEN, Nadim Joni SHAH, Gary Francis EGAN