Patent ID: 7711661
Filing Date: 2010-05-04
Classification: G01T,G01V

Abstract:
1. A system for identifying radionuclide emissions, comprising: at least one processor for processing output signals from a radionuclide detecting device, wherein the radionuclide detecting device includes a first detection channel for detecting neutron emissions, a second detection channel for detecting x-ray emissions, and a third detection channel for detecting gamma emissions; at least one training algorithm run by said at least one processor for analyzing data derived from at least one set of known sample data from said output signals; wherein said at least one training algorithm comprises a support vector machine; at least one classification algorithm derived from said training algorithm for classifying unknown sample data; wherein said at least one training algorithm analyzes said at least one sample data set to derive at least one rule used by said classification algorithm for identifying at least one radionuclide emission detected by a correspondent one of the first, second or third detection channels of said detecting device; a peak-fitting algorithm run in parallel with said training and classification algorithms; wherein decision logic is used to compare results of said peak-fitting algorithm and said training and classification algorithms; and an output for display comprising an outcome of the comparison from the decision logic, wherein the outcome displayed identifies at least one of, and a level of, the radionuclide emissions.