TY - GEN
T1 - Material Thickness Reconstructions with X-ray and Neutron Radiography
AU - Gilbert, Andrew J.
AU - Campbell, Luke A.
AU - Deshmukh, Nikhil
AU - Hausladen, Paul A.
AU - Rose, Paul B.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Radiography is a powerful tool to determine the interior structure of objects. X-ray radiography is widely used and provides high-resolution images, though X-rays have limited transmission through materials of high atomic number (Z) and density. In contrast, neutron radiography can penetrate many materials that are heavily attenuating to X-rays, such as metals, providing contrast in the inner layers of highly attenuating items. Past work has shown the value in using both X-ray and neutron radiography for estimating material thicknesses, though this work was limited to simulated data. Here, we demonstrate material thickness reconstructions using experimental X-ray and neutron radiography data from lab-based systems, estimating material slab thicknesses to within 10%.
AB - Radiography is a powerful tool to determine the interior structure of objects. X-ray radiography is widely used and provides high-resolution images, though X-rays have limited transmission through materials of high atomic number (Z) and density. In contrast, neutron radiography can penetrate many materials that are heavily attenuating to X-rays, such as metals, providing contrast in the inner layers of highly attenuating items. Past work has shown the value in using both X-ray and neutron radiography for estimating material thicknesses, though this work was limited to simulated data. Here, we demonstrate material thickness reconstructions using experimental X-ray and neutron radiography data from lab-based systems, estimating material slab thicknesses to within 10%.
KW - material quantification
KW - radiography
UR - http://www.scopus.com/inward/record.url?scp=85185374570&partnerID=8YFLogxK
U2 - 10.1109/NSS/MIC44845.2022.10399170
DO - 10.1109/NSS/MIC44845.2022.10399170
M3 - Conference contribution
AN - SCOPUS:85185374570
T3 - 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
BT - 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Nuclear Science Symposium, Medical Imaging Conference, and Room Temperature Semiconductor Detector Conference, IEEE NSS MIC RTSD 2022
Y2 - 5 November 2022 through 12 November 2022
ER -