Progress on Associated-Particle Imaging Algorithms, 2022

Paul A. Hausladen; Matthew R. Heath; R. Jason Newby; Paul B. Rose Jr.; Jens Gregor; Andrew J. Gilbert; Luke A. Campbell; Nikhil Deshmukh; Richard S. Wittman; John K. Mattingly; Madeline Lockhart

doi:10.2172/2229236

Progress on Associated-Particle Imaging Algorithms, 2022

Paul A. Hausladen, Matthew R. Heath, R. Jason Newby, Paul B. Rose Jr., Jens Gregor, Andrew J. Gilbert, Luke A. Campbell, Nikhil Deshmukh, Richard S. Wittman, John K. Mattingly, Madeline Lockhart

Research output: Book/Report › Commissioned report

Abstract

The present work describes progress on developing imaging algorithms that use fast neutron signatures acquired using the associated-particle imaging (API) method. The present work complements ongoing work to develop neutron source and detector hardware to enable field inspection by investigating algorithms that are capable of discriminating among critical materials or extracting three-dimensional (3D) geometrical information from single-sided or transmission measurements. The present work is divided into three approaches: 1.Iterative reconstruction of inelastic gamma-ray emissions to perform 3D time-of-flight (TOF) imaging in a single view in either transmission or backscatter configurations. Iterative reconstruction enables image resolution better than the inherent TOF resolution. 2.Decomposition of registered neutron and x-ray radiographs into an assumed material list for each pixel in the image. 3.Material identification using full spectral analysis that includes the emergent neutron and gamma ray energies, times, and angles. Progress for each approach is summarized for fiscal year (FY) 2022.

Original language	English
Place of Publication	United States
DOIs	https://doi.org/10.2172/2229236
State	Published - 2022

Keywords

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

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10.2172/2229236

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title = "Progress on Associated-Particle Imaging Algorithms, 2022",

abstract = "The present work describes progress on developing imaging algorithms that use fast neutron signatures acquired using the associated-particle imaging (API) method. The present work complements ongoing work to develop neutron source and detector hardware to enable field inspection by investigating algorithms that are capable of discriminating among critical materials or extracting three-dimensional (3D) geometrical information from single-sided or transmission measurements. The present work is divided into three approaches: 1.Iterative reconstruction of inelastic gamma-ray emissions to perform 3D time-of-flight (TOF) imaging in a single view in either transmission or backscatter configurations. Iterative reconstruction enables image resolution better than the inherent TOF resolution. 2.Decomposition of registered neutron and x-ray radiographs into an assumed material list for each pixel in the image. 3.Material identification using full spectral analysis that includes the emergent neutron and gamma ray energies, times, and angles. Progress for each approach is summarized for fiscal year (FY) 2022.",

keywords = "46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY",

author = "Hausladen, {Paul A.} and Heath, {Matthew R.} and Newby, {R. Jason} and {Rose Jr.}, {Paul B.} and Jens Gregor and Gilbert, {Andrew J.} and Campbell, {Luke A.} and Nikhil Deshmukh and Wittman, {Richard S.} and Mattingly, {John K.} and Madeline Lockhart",

year = "2022",

doi = "10.2172/2229236",

language = "English",

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TY - BOOK

T1 - Progress on Associated-Particle Imaging Algorithms, 2022

AU - Hausladen, Paul A.

AU - Heath, Matthew R.

AU - Newby, R. Jason

AU - Rose Jr., Paul B.

AU - Gregor, Jens

AU - Gilbert, Andrew J.

AU - Campbell, Luke A.

AU - Deshmukh, Nikhil

AU - Wittman, Richard S.

AU - Mattingly, John K.

AU - Lockhart, Madeline

PY - 2022

Y1 - 2022

N2 - The present work describes progress on developing imaging algorithms that use fast neutron signatures acquired using the associated-particle imaging (API) method. The present work complements ongoing work to develop neutron source and detector hardware to enable field inspection by investigating algorithms that are capable of discriminating among critical materials or extracting three-dimensional (3D) geometrical information from single-sided or transmission measurements. The present work is divided into three approaches: 1.Iterative reconstruction of inelastic gamma-ray emissions to perform 3D time-of-flight (TOF) imaging in a single view in either transmission or backscatter configurations. Iterative reconstruction enables image resolution better than the inherent TOF resolution. 2.Decomposition of registered neutron and x-ray radiographs into an assumed material list for each pixel in the image. 3.Material identification using full spectral analysis that includes the emergent neutron and gamma ray energies, times, and angles. Progress for each approach is summarized for fiscal year (FY) 2022.

AB - The present work describes progress on developing imaging algorithms that use fast neutron signatures acquired using the associated-particle imaging (API) method. The present work complements ongoing work to develop neutron source and detector hardware to enable field inspection by investigating algorithms that are capable of discriminating among critical materials or extracting three-dimensional (3D) geometrical information from single-sided or transmission measurements. The present work is divided into three approaches: 1.Iterative reconstruction of inelastic gamma-ray emissions to perform 3D time-of-flight (TOF) imaging in a single view in either transmission or backscatter configurations. Iterative reconstruction enables image resolution better than the inherent TOF resolution. 2.Decomposition of registered neutron and x-ray radiographs into an assumed material list for each pixel in the image. 3.Material identification using full spectral analysis that includes the emergent neutron and gamma ray energies, times, and angles. Progress for each approach is summarized for fiscal year (FY) 2022.

KW - 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

U2 - 10.2172/2229236

DO - 10.2172/2229236

M3 - Commissioned report

BT - Progress on Associated-Particle Imaging Algorithms, 2022

CY - United States

ER -

Progress on Associated-Particle Imaging Algorithms, 2022

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