Patents by Inventor Shuwei Mao

Shuwei Mao 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).

  • Devices, systems and methods utilizing framelet-based iterative maximum-likelihood reconstruction algorithms in spectral CT
    Patent number: 11893661
    Abstract: The disclosed apparatus, systems and methods relate to a framelet-based iterative algorithm for polychromatic CT which can reconstruct two components using a single scan. The algorithm can have various steps including a scaled-gradient descent step of constant or variant step sizes; a non-negativity step; a soft thresholding step; and a color reconstruction step.
    Type: Grant
    Filed: March 8, 2021
    Date of Patent: February 6, 2024
    Assignees: University of Iowa Research Foundation
    Inventors: Wenxiang Cong, Ye Yangbo, Ge Wang, Shuwei Mao, Yingmei Wang
  • DEVICES, SYSTEMS AND METHODS UTILIZING FRAMELET-BASED ITERATIVE MAXIMUM-LIKELIHOOD RECONSTRUCTION ALGORITHMS IN SPECTRAL CT
    Publication number: 20210209819
    Abstract: The disclosed apparatus, systems and methods relate to a framelet-based iterative algorithm for polychromatic CT which can reconstruct two components using a single scan. The algorithm can have various steps including a scaled-gradient descent step of constant or variant step sizes; a non-negativity step; a soft thresholding step; and a color reconstruction step.
    Type: Application
    Filed: March 8, 2021
    Publication date: July 8, 2021
    Inventors: Wenxiang Cong, Ye Yangbo, Ge Wang, Shuwei Mao, Yingmei Wang
  • Devices, systems and methods utilizing framelet-based iterative maximum-likelihood reconstruction algorithms in spectral CT
    Patent number: 10970886
    Abstract: The disclosed apparatus, systems and methods relate to a framelet-based iterative algorithm for polychromatic CT which can reconstruct two components using a single scan. The algorithm can have various steps including a scaled-gradient descent step of constant or variant step sizes; a non-negativity step; a soft thresholding step; and a color reconstruction step.
    Type: Grant
    Filed: October 9, 2019
    Date of Patent: April 6, 2021
    Assignees: Shandong University, Rensselaer Polytechnic Institute, Shandong Provincial Chest Hospital, University of Iowa Research Foundation
    Inventors: Wenxiang Cong, Ye Yangbo, Ge Wang, Shuwei Mao, Yingmei Wang
  • Devices, Systems and Methods Utilizing Framelet-Based Iterative Maximum-Likelihood Reconstruction Algorithms in Spectral CT
    Publication number: 20200043205
    Abstract: The disclosed apparatus, systems and methods relate to a framelet-based iterative algorithm for polychromatic CT which can reconstruct two components using a single scan. The algorithm can have various steps including a scaled-gradient descent step of constant or variant step sizes; a non-negativity step; a soft thresholding step; and a color reconstruction step.
    Type: Application
    Filed: October 9, 2019
    Publication date: February 6, 2020
    Inventors: Wenxiang Cong, Ye Yangbo, Ge Wang, Shuwei Mao, Yingmei Wang
  • Devices, systems and methods utilizing framelet-based iterative maximum-likelihood reconstruction algorithms in spectral CT
    Patent number: 10489942
    Abstract: The disclosed apparatus, systems and methods relate to a framelet-based iterative algorithm for polychromatic CT which can reconstruct two components using a single scan. The algorithm can have various steps including a scaled-gradient descent step of constant or variant step sizes; a non-negativity step; a soft thresholding step; and a color reconstruction step.
    Type: Grant
    Filed: March 23, 2017
    Date of Patent: November 26, 2019
    Assignees: RENSSELAER POLYTECHNIC INSTITUTE, SHANDONG UNIVERSITY, SHANDONG PROVINCIAL CHEST HOSPITAL, UNIVERSITY OF IOWA RESEARCH FOUNDATION
    Inventors: Wenxiang Cong, Ye Yangbo, Ge Wang, Shuwei Mao, Yingmei Wang
  • Devices, Systems and Methods Utilizing Framelet-Based Iterative Maximum-Likelihood Reconstruction Algorithms in Spectral CT
    Publication number: 20190102918
    Abstract: The disclosed apparatus, systems and methods relate to a framelet-based iterative algorithm for polychromatic CT which can reconstruct two components using a single scan. The algorithm can have various steps including a scaled-gradient descent step of constant or variant step sizes; a non-negativity step; a soft thresholding step; and a color reconstruction step.
    Type: Application
    Filed: March 23, 2017
    Publication date: April 4, 2019
    Inventors: Wenxiang Cong, Ye Yangbo, Ge Wang, Shuwei Mao, Yingmei Wang