Robust statistical reconstruction for charged particle tomography

US8552370B2 · kind B2 · utility

Assignee

• LOS ALAMOS NATIONAL SECURITY, LLC · US

Inventors

• Larry Joe Schultz · Los Alamos, US
• Alexei V. Klimenko · Tyngsborough, US
• Andrew Mcleod Fraser · Los Alamos, US
• Christopher L. Morris · New Garden Township, US
• John Christopher Orum · Los Alamos, US
• Konstantin N. Borozdin · Los Alamos, US
• Michael James Sossong · Ramona, US
• Nicolas W. Hengartner · Los Alamos, US

Key dates

• Filing date: Oct 24, 2007
• Grant date: Oct 8, 2013
• Expiry date: Jul 23, 2032

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F17/18
• WIPO field: Measurement
• WIPO sector: Instruments

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.