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Neural Networks for Dose Reduced Reconstruction Image Denoising in Neutron Tomography

Published online by Cambridge University Press:  22 July 2022

M.C. Daugherty ,
J.M. LaManna ,
Y. Kim ,
E. Baltic ,
D.S. Hussey  and
D.L. Jacobson
M.C. Daugherty
Affiliation:
Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, MD, USA
J.M. LaManna
Affiliation:
Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
Y. Kim
Affiliation:
Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA Department of Chemistry and Biochemistry, University of Maryland, College Park, MD, USA
E. Baltic
Affiliation:
Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
D.S. Hussey
Affiliation:
Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
D.L. Jacobson
Affiliation:
Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA

Abstract

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Type
Correlative Microscopy and High-Throughput Characterization for Accelerated Development of Materials in Extreme Environments
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 2040 - 2044
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Copyright
Copyright © Microscopy Society of America 2022

References

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Acknowledgements: Research was sponsored by the DEVCOM Army Research Laboratory (ARL) and was funded under Cooperative Agreement (CA) Number W911NF-20-2-0284. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the DEVCOM Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes -notwithstanding any copyright notation hereon.Google Scholar