Patents by Inventor John Christopher Orum

John Christopher Orum 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).

  • Robust statistical reconstruction for charged particle tomography
    Patent number: 8552370
    Abstract: Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.
    Type: Grant
    Filed: October 24, 2007
    Date of Patent: October 8, 2013
    Assignee: Los Alamos National Security, LLC
    Inventors: Larry Joe Schultz, Alexei Vasilievich Klimenko, Andrew Mcleod Fraser, Christopher Morris, John Christopher Orum, Konstantin N. Borozdin, Michael James Sossong, Nicolas W. Hengartner
  • Robust statistical reconstruction for charged particle tomography
    Publication number: 20130238291
    Abstract: Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.
    Type: Application
    Filed: October 24, 2007
    Publication date: September 12, 2013
    Inventors: Larry Joe Schultz, Alexei Vasilievich Klimenko, Andrew McLeod Fraser, Christopher Morris, John Christopher Orum, Konstantin N. Borozdin, Michael James Sossong, NIcolas W. Hengartner