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Authors: Victoria H. DiStefano ; Jacob M. LaManna ; David L. Jacobson ; Paul A. Kienzle ; Daniel S. Hussey and Peter Bajcsy

Affiliation: National Institute of Standards and Technology, Gaithersburg, MD 20899, U.S.A.

Keyword(s): 3D Reconstruction Image Quality, Dose Reduction, Neutron Imaging.

Abstract: The goal of this study is to determine variable relationships and a computational workflow that yield the highest quality of three-dimensional reconstructions in neutron imaging applications with reduced number of projections angles. Neutrons interact with matter primarily through the strong nuclear force providing unique image contrast modes. Accessing many of these contrast modes requires defining the energy of the neutron beam, resulting in long exposure times for a single two-dimensional projection image. To collect of order 100 tomograms at different neutron wavelengths within a reasonable time frame (less than 1 week) suggests the use of dose reduction tomography reconstruction algorithms. We identified and evaluated the main factors affecting the quality of the 3D tomographic reconstruction in the computational image workflow: the projection number, the reconstruction method, and the post-processing method. This study reports several relationships between 3D reconstruction qua lity metrics and acquisition time. Based on the established relationships, the performance of a seeded simultaneous iterative reconstruction technique (SIRT) yielded improved image quality and more accurate estimates of the reconstructed attenuation values compared to a SIRT without a priori information or a trained neural network based on a mixed scale dense network. (More)

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Paper citation in several formats:
DiStefano, V.; LaManna, J.; Jacobson, D.; Kienzle, P.; Hussey, D. and Bajcsy, P. (2022). Assessment of Dose Reduction Strategies in Wavelength-selective Neutron Tomography. In Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE; ISBN 978-989-758-563-0; ISSN 2795-4943, SciTePress, pages 66-77. DOI: 10.5220/0011077600003209

@conference{improve22,
author={Victoria H. DiStefano. and Jacob M. LaManna. and David L. Jacobson. and Paul A. Kienzle. and Daniel S. Hussey. and Peter Bajcsy.},
title={Assessment of Dose Reduction Strategies in Wavelength-selective Neutron Tomography},
booktitle={Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE},
year={2022},
pages={66-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011077600003209},
isbn={978-989-758-563-0},
issn={2795-4943},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE
TI - Assessment of Dose Reduction Strategies in Wavelength-selective Neutron Tomography
SN - 978-989-758-563-0
IS - 2795-4943
AU - DiStefano, V.
AU - LaManna, J.
AU - Jacobson, D.
AU - Kienzle, P.
AU - Hussey, D.
AU - Bajcsy, P.
PY - 2022
SP - 66
EP - 77
DO - 10.5220/0011077600003209
PB - SciTePress

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