System for uncollimated digital radiography
Abstract
The inversion algorithm based on the maximum entropy method (MEM) removes unwanted effects in high energy imaging resulting from an uncollimated source interacting with a finitely thick scintillator. The algorithm takes as input the image from the thick scintillator (TS) and the radiography setup geometry. The algorithm then outputs a restored image which appears as if taken with an infinitesimally thin scintillator (ITS). Inversion is accomplished by numerically generating a probabilistic model relating the ITS image to the TS image and then inverting this model on the TS image through MEM. This reconstruction technique can reduce the exposure time or the required source intensity without undesirable object blurring on the image by allowing the use of both thicker scintillators with higher efficiencies and closer source-to-detector distances to maximize incident radiation flux. The technique is applicable in radiographic applications including fast neutron, high-energy gamma and x-ray radiography using thick scintillators.
- Inventors:
- Issue Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1209343
- Patent Number(s):
- 9105087
- Application Number:
- 13/945,351
- Assignee:
- Lawrence Livermore National Security, LLC (Livermore, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01T - MEASUREMENT OF NUCLEAR OR X-RADIATION
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- DOE Contract Number:
- AC52-07NA27344
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2013 Jul 18
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
Citation Formats
Wang, Han, Hall, James M., McCarrick, James F., and Tang, Vincent. System for uncollimated digital radiography. United States: N. p., 2015.
Web.
Wang, Han, Hall, James M., McCarrick, James F., & Tang, Vincent. System for uncollimated digital radiography. United States.
Wang, Han, Hall, James M., McCarrick, James F., and Tang, Vincent. Tue .
"System for uncollimated digital radiography". United States. https://www.osti.gov/servlets/purl/1209343.
@article{osti_1209343,
title = {System for uncollimated digital radiography},
author = {Wang, Han and Hall, James M. and McCarrick, James F. and Tang, Vincent},
abstractNote = {The inversion algorithm based on the maximum entropy method (MEM) removes unwanted effects in high energy imaging resulting from an uncollimated source interacting with a finitely thick scintillator. The algorithm takes as input the image from the thick scintillator (TS) and the radiography setup geometry. The algorithm then outputs a restored image which appears as if taken with an infinitesimally thin scintillator (ITS). Inversion is accomplished by numerically generating a probabilistic model relating the ITS image to the TS image and then inverting this model on the TS image through MEM. This reconstruction technique can reduce the exposure time or the required source intensity without undesirable object blurring on the image by allowing the use of both thicker scintillators with higher efficiencies and closer source-to-detector distances to maximize incident radiation flux. The technique is applicable in radiographic applications including fast neutron, high-energy gamma and x-ray radiography using thick scintillators.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {8}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Reconstruction algorithm for point source neutron imaging through finite thickness scintillator
journal, November 2012
- Wang, H.; Tang, V.; McCarrick, J.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 693, p. 294-301
Maximum Entropy Image Reconstruction
journal, April 1977
- Wernecke,
- IEEE Transactions on Computers, Vol. C-26, Issue 4
Mammographic image restoration using maximum entropy deconvolution
journal, October 2004
- Jannetta, A.; Jackson, J. C.; Kotre, C. J.
- Physics in Medicine and Biology, Vol. 49, Issue 21
Position determination of scatter signatures – A novel sensor geometry
journal, December 2010
- Dicken, Anthony; Rogers, Keith; Evans, Paul
- Talanta, Vol. 83, Issue 2, p. 431-435
Scatter in an uncollimated x-ray CT machine based on a Geant4 Monte Carlo simulation
conference, March 2010
- Wadeson, Nicola; Morton, Edward; Lionheart, William
- SPIE Medical Imaging, SPIE Proceedings
An iterative three-dimensional electron density imaging algorithm using uncollimated Compton scattered x rays from a polyenergetic primary pencil beam: Three-dimensional electron density imaging using Compton scattered x rays
journal, December 2006
- Van Uytven, Eric; Pistorius, Stephen; Gordon, Richard
- Medical Physics, Vol. 34, Issue 1
Accurate scatter correction for transmission computed tomography using an uncollimated line array source
journal, February 2004
- Kojima, Akihiro; Matsumoto, Masanori; Tomiguchi, Seiji
- Annals of Nuclear Medicine, Vol. 18, Issue 1
Image processing method apparatus and storage medium for recognition of irradiation area
patent, May 2006
- Shinbata, Hiroyuki
- US Patent Document 7,046,836
Image processing apparatus and control method and program therefor
patent, August 2009
- Takahashi, Naoto
- US Patent Document 7,570,792
Applications of Fractal and/or Chaotic Techniques
patent-application, September 2003
- Johnson, William Nevil Heaton; Blackledge, Jonathan Michael; Murray, Bruce Lawrence John
- US Patent Application 10/149526; 20030182246