Mapping and imaging ionizing radiation in two and three dimensions
Abstract
A two-dimensional imaging system and a two-dimensional or three-dimensional optical tomographic mapping system, each employing gas scintillation induced by ionizing radiation, i.e., radioluminescence, and corresponding methods, are disclosed. The systems may employ one or more cameras and corresponding UV filters (potentially solar blind filters) for imaging a radioluminescent scene. For two-dimensional or three-dimensional mapping, the resultant UV images are spatially registered with one another and then reconstructed to form a three-dimensional tomographic map of the ionizing radiation. The two-dimensional map is a plane of the three-dimensional map. The UV images may be spatially registered by using a reference source, optionally, a calibrated reference source allowing dosimetry calculations for the ionizing radiation. Molecular nitrogen is the primary candidate for the radioluminescent gas, though a controlled ambient in a chamber of nitric oxide, argon, krypton, or xenon may be employed. The reconstruction process employs an algebraic reconstruction technique or an Abel inversion.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1998311
- Patent Number(s):
- 11630218
- Application Number:
- 17/141,270
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- DOE Contract Number:
- NA0003525
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 01/05/2021
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Bentz, Brian Z., Harrison, Richard Karl, Yee, Benjamin Tong, Kolb, Norman, Martin, Jeffrey B., Fournier, Sean Donovan, Searfus, Oskar Fick, Murzyn, Christopher, and Saltonstall, Jr., Christopher Blair. Mapping and imaging ionizing radiation in two and three dimensions. United States: N. p., 2023.
Web.
Bentz, Brian Z., Harrison, Richard Karl, Yee, Benjamin Tong, Kolb, Norman, Martin, Jeffrey B., Fournier, Sean Donovan, Searfus, Oskar Fick, Murzyn, Christopher, & Saltonstall, Jr., Christopher Blair. Mapping and imaging ionizing radiation in two and three dimensions. United States.
Bentz, Brian Z., Harrison, Richard Karl, Yee, Benjamin Tong, Kolb, Norman, Martin, Jeffrey B., Fournier, Sean Donovan, Searfus, Oskar Fick, Murzyn, Christopher, and Saltonstall, Jr., Christopher Blair. Tue .
"Mapping and imaging ionizing radiation in two and three dimensions". United States. https://www.osti.gov/servlets/purl/1998311.
@article{osti_1998311,
title = {Mapping and imaging ionizing radiation in two and three dimensions},
author = {Bentz, Brian Z. and Harrison, Richard Karl and Yee, Benjamin Tong and Kolb, Norman and Martin, Jeffrey B. and Fournier, Sean Donovan and Searfus, Oskar Fick and Murzyn, Christopher and Saltonstall, Jr., Christopher Blair},
abstractNote = {A two-dimensional imaging system and a two-dimensional or three-dimensional optical tomographic mapping system, each employing gas scintillation induced by ionizing radiation, i.e., radioluminescence, and corresponding methods, are disclosed. The systems may employ one or more cameras and corresponding UV filters (potentially solar blind filters) for imaging a radioluminescent scene. For two-dimensional or three-dimensional mapping, the resultant UV images are spatially registered with one another and then reconstructed to form a three-dimensional tomographic map of the ionizing radiation. The two-dimensional map is a plane of the three-dimensional map. The UV images may be spatially registered by using a reference source, optionally, a calibrated reference source allowing dosimetry calculations for the ionizing radiation. Molecular nitrogen is the primary candidate for the radioluminescent gas, though a controlled ambient in a chamber of nitric oxide, argon, krypton, or xenon may be employed. The reconstruction process employs an algebraic reconstruction technique or an Abel inversion.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {4}
}
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