Assessment of Dose Reduction Strategies in Wavelength-selective Neutron Tomography

Victoria DiStefano, Jacob LaManna, David Jacobson, Paul Kienzle, Daniel Hussey, Peter Bajcsy

2022

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 quality 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.

Paper Citation

in Harvard Style

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 - Volume 1: IMPROVE, ISBN 978-989-758-563-0, pages 66-77. DOI: 10.5220/0011077600003209

in Bibtex Style

@conference{improve22,
author={Victoria DiStefano and Jacob LaManna and David Jacobson and Paul Kienzle and Daniel 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 - Volume 1: IMPROVE,},
year={2022},
pages={66-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011077600003209},
isbn={978-989-758-563-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,
TI - Assessment of Dose Reduction Strategies in Wavelength-selective Neutron Tomography
SN - 978-989-758-563-0
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