Patents by Inventor Luonan WANG

Luonan WANG 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).

  • Systems and methods for motion-compensated reconstruction of magnetic resonance images
    Patent number: 11204409
    Abstract: Systems and methods for reconstructing a motion-compensated magnetic resonance image are presented. In certain implementations, a computer-implemented method is provided. The method may include a plurality of operations, including receiving a set of k-space data from a magnetic resonance imaging device, dividing the set of k-space data into a plurality of groups, performing a plurality of initialization operations, performing a first iterative process until a first criteria for the first iterative process is achieved for a current scale of motion estimation, performing a second iterative process until a second criteria for the second iterative process is achieved, and outputting a motion-compensated magnetic resonance image reconstructed in accordance with a predetermined scale of motion estimation.
    Type: Grant
    Filed: October 11, 2019
    Date of Patent: December 21, 2021
    Assignee: University of Virginia Patent Foundation
    Inventors: Luonan Wang, Daniel Stuart Weller, John P. Mugler, III, Craig H. Meyer
  • SYSTEMS AND METHODS FOR MOTION-COMPENSATED RECONSTRUCTION OF MAGNETIC RESONANCE IMAGES
    Publication number: 20200116810
    Abstract: Systems and methods for reconstructing a motion-compensated magnetic resonance image are presented. In certain implementations, a computer-implemented method is provided. The method may include a plurality of operations, including receiving a set of k-space data from a magnetic resonance imaging device, dividing the set of k-space data into a plurality of groups, performing a plurality of initialization operations, performing a first iterative process until a first criteria for the first iterative process is achieved for a current scale of motion estimation, performing a second iterative process until a second criteria for the second iterative process is achieved, and outputting a motion-compensated magnetic resonance image reconstructed in accordance with a predetermined scale of motion estimation.
    Type: Application
    Filed: October 11, 2019
    Publication date: April 16, 2020
    Applicant: University of Virginia Patent Foundation
    Inventors: Luonan WANG, Daniel Stuart Weller, John P. Mugler, Craig H. Meyer