Modeling the influence of the geometrical unsharpness on the neutron radiography and tomography images of porous materials

Beam divergence is one of the instrument resolution parameters in neutron computed tomography. In pinhole geometry, due to the finite size of the source, geometric unsharpness affects the transmission images and therefore influences the reconstructed data. In this paper, we propose an approach for deterministic simulation of this effect for a voxelized 3D object. The idea behind the proposed approach is to use multiple point sources at a pinhole position and collect transmission images from each of them. The implementation was done using the ASTRA toolbox by calculating cone beam projections from each point source. This approach was applied to a porous phantom. Artifacts associated with beam divergence were identified in the reconstructed data. The influence of beam divergence on the segmentation of pores by binarization of the reconstructed data has been considered.

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Publication Details

Journal
Computer Optics
Published
2025-04-01
DOI
https://doi.org/10.18287/2412-6179-co-1478
Citations
1
Primary Topic
Nuclear Physics and Applications
Type
article
Field-Weighted Citation Impact
1.88

Funders

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article

Modeling the influence of the geometrical unsharpness on the neutron radiography and tomography images of porous materials

I. Yu. Zel
1 citations
Computer Optics
Nuclear Physics and Applications
1.88
article

Modeling the influence of the geometrical unsharpness on the neutron radiography and tomography images of porous materials

I. Yu. Zel
article en
1 citations

Abstract

Beam divergence is one of the instrument resolution parameters in neutron computed tomography. In pinhole geometry, due to the finite size of the source, geometric unsharpness affects the transmission images and therefore influences the reconstructed data. In this paper, we propose an approach for deterministic simulation of this effect for a voxelized 3D object. The idea behind the proposed approach is to use multiple point sources at a pinhole position and collect transmission images from each of them. The implementation was done using the ASTRA toolbox by calculating cone beam projections from each point source. This approach was applied to a porous phantom. Artifacts associated with beam divergence were identified in the reconstructed data. The influence of beam divergence on the segmentation of pores by binarization of the reconstructed data has been considered.

Computer OpticsVol. 49(2)
Russian Science Foundation
Openalex Percentile: Top 15%
Nuclear Physics and Applications
1.88
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