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Related Experiment Video

Updated: May 2, 2026

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
10:24

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

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Image enhancement using MCNP5 code and MATLAB in neutron radiography.

Montaser Tharwat1, Nader Mohamed1, T Mongy1

  • 1Egyptian Atomic Energy Authority (EAEA), ETRR-2, Abo Zaabal, Qalubia 13759, Egypt.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|March 4, 2014
PubMed
Summary

This study enhances neutron radiography (NR) images of light materials by simulating scattered neutrons and subtracting them. This improves image quality and quantitative measurements for neutron imaging applications.

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Area of Science:

  • Nuclear Physics
  • Materials Science
  • Image Processing

Background:

  • Neutron radiography (NR) is valuable for inspecting light materials.
  • Scattering in materials like hydrogen and carbon blurs NR images.
  • Enhancement techniques are needed for clearer imaging.

Purpose of the Study:

  • To develop and present a method for enhancing neutron radiography images.
  • To improve image quality and quantitative measurement accuracy.
  • To address image degradation caused by neutron scattering.

Main Methods:

  • Utilized Monte Carlo simulation (MCNP5) to model neutron transport and scattering.
  • Calculated scattered neutron distribution contributing to image blur.
  • Employed MATLAB for subtracting scattered neutron data from initial images.
Keywords:
Imaging enhancementMATLABMCNP5Neutron imagingQuantitative measurementsStatic based film neutron radiography

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  • Validated the technique on static film-based neutron radiography.

    • Main Results:

    • Successfully reduced image blur caused by scattered neutrons.
    • Achieved significant enhancement in neutron radiography image quality.
    • Demonstrated the effectiveness of the proposed subtraction method.
    • Showcased improved quantitative measurement capabilities.

    Conclusions:

    • The presented method effectively enhances neutron radiography images of scattering materials.
    • This technique is valuable for static film-based neutron radiography.
    • Image enhancement is crucial for accurate quantitative analysis in neutron imaging.