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Robust statistical reconstruction for charged particle tomography

United States Patent

October 8, 2013
View the Complete Patent at the US Patent & Trademark Office
Los Alamos National Laboratory - Visit the Technology Transfer Division Website
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.
Schultz; Larry Joe (Los Alamos, NM), Klimenko; Alexei Vasilievich (Maynard, MA), Fraser; Andrew Mcleod (Los Alamos, NM), Morris; Christopher (Los Alamos, NM), Orum; John Christopher (Los Alamos, NM), Borozdin; Konstantin N. (Los Alamos, NM), Sossong; Michael James (Los Alamos, NM), Hengartner; Nicolas W. (Los Alamos, NM)
Los Alamos National Security, LLC (Los Alamos, NM)
11/ 977,409
October 24, 2007
STATEMENT REGARDING FEDERAL RIGHTS This invention was made with Government support under Contract Number DE-AC52-06NA25396 awarded by the United States Department of Energy. The Government has certain rights in the invention.