Patents by Inventor Kevin C. Zimmerman

Kevin C. Zimmerman 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).

  • Material decomposition of multi-spectral X-ray projections using neural networks
    Patent number: 10034646
    Abstract: A method of processing x-ray images comprises training an artificial neural network to process multi-spectral x-ray projections to determine composition information about an object in terms of equivalent thickness of at least one basis material.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: July 31, 2018
    Assignee: Marquette University
    Inventors: Tal Gilat Schmidt, Kevin C. Zimmerman
  • MATERIAL DECOMPOSITION OF MULTI-SPECTRAL X-RAY PROJECTIONS USING NEURAL NETWORKS
    Publication number: 20180035965
    Abstract: A method of processing x-ray images comprises training an artificial neural network to process multi-spectral x-ray projections to determine composition information about an object in terms of equivalent thickness of at least one basis material.
    Type: Application
    Filed: September 29, 2017
    Publication date: February 8, 2018
    Applicant: Marquette University
    Inventors: Tal Gilat Schmidt, Kevin C. Zimmerman
  • Material decomposition of multi-spectral x-ray projections using neural networks
    Patent number: 9808216
    Abstract: A method of processing x-ray images comprises training an artificial neural network to process multi-spectral x-ray projections to determine composition information about an object in terms of equivalent thickness of at least one basis material. The method further comprises providing a multi-spectral x-ray projection of an object, wherein the multi-spectral x-ray projection of the object contains energy content information describing the energy content of the multi-spectral x-ray projection. The multi-spectral x-ray projection is then processed with the artificial neural network to determine composition information about the object, and then the composition information about the object is provided.
    Type: Grant
    Filed: June 20, 2014
    Date of Patent: November 7, 2017
    Assignee: Marquette University
    Inventors: Tal Gilat Schmidt, Kevin C. Zimmerman
  • MATERIAL DECOMPOSITION OF MULTI-SPECTRAL X-RAY PROJECTIONS USING NEURAL NETWORKS
    Publication number: 20150371378
    Abstract: A method of processing x-ray images comprises training an artificial neural network to process multi-spectral x-ray projections to determine composition information about an object in terms of equivalent thickness of at least one basis material. The method further comprises providing a multi-spectral x-ray projection of an object, wherein the multi-spectral x-ray projection of the object contains energy content information describing the energy content of the multi-spectral x-ray projection.
    Type: Application
    Filed: June 20, 2014
    Publication date: December 24, 2015
    Applicant: Marquette University
    Inventors: Tal Gilat Schmidt, Kevin C. Zimmerman