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Published on: May 7, 2021
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Boron-Based Neutron Scintillator Screens for Neutron Imaging
William Chuirazzi1, Aaron Craft1, Burkhard Schillinger2
1Advanced Post-Irradiation Examination Department, Idaho National Laboratory, Idaho Falls, ID 83401, USA.
Journal of Imaging
|August 30, 2021
Summary
Boron-based neutron scintillators offer improved detection efficiency and spatial resolution for digital neutron imaging. These advancements can reduce acquisition times and enhance image quality in neutron imaging systems.
Area of Science:
- Materials Science
- Nuclear Instrumentation
- Imaging Technology
Background:
- Neutron scintillator screens are critical components in digital neutron imaging, directly impacting spatial resolution and neutron capture efficiency.
- Current systems often rely on lithium-6 fluoride (6LiF) and gadolinium oxysulfide, which have limitations in efficiency and resolution.
Purpose of the Study:
- To investigate boron-based neutron scintillators as an alternative to existing technologies.
- To explore the potential of boron-10 (10B) due to its high neutron absorption cross-section and favorable decay characteristics.
Main Methods:
- A parametric study was conducted, varying boron neutron converters, particle sizes, mix ratios, substrates, and sensor construction.
- Performance was evaluated by comparing neutron detection efficiency and spatial resolution against a standard 6LiF/ZnS scintillator.
- Neutron tomography was performed using optimized boron-based screens.
Main Results:
- Boron-based screens showed a 125% increase in thermal and 67% increase in epithermal neutron detection efficiency compared to 6LiF/ZnS.
- High-resolution boronated scintillators achieved measurable spatial resolution, enabling successful neutron tomography.
- Optimized boron scintillators demonstrated potential for improved neutron statistics.
Conclusions:
- Boron-based neutron scintillators represent a promising advancement for digital neutron imaging systems.
- They offer significant improvements in neutron detection efficiency and spatial resolution.
- These enhancements can lead to reduced acquisition times and better overall image quality for specific applications.

