Signal-to-noise and spatial resolution in in-line imaging. 3. Optimization using a simple model

Fuente: arXiv
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Auteurs principaux: Gureyev, T. E., Paganin, D. M., Quiney, H. M.
Format: Preprint
Publié: 2025
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author Gureyev, T. E.
Paganin, D. M.
Quiney, H. M.
author_facet Gureyev, T. E.
Paganin, D. M.
Quiney, H. M.
contents The problem of optimization of propagation-based phase-contrast imaging setups is considered in the case of projection X-ray imaging and three-dimensional tomography with phase retrieval. For two-dimensional imaging, a simple model for a homogeneous edge feature embedded in a bulk sample is used to obtain analytical expressions for the image intensity. This model allows for explicit optimization of the geometrical parameters of the imaging setup and the choice of X-ray energy that maximizes the image contrast or the contrast-to-noise ratio. We also consider the question of optimization of the biomedical X-ray imaging quality characteristic which balances the contrast-to-noise against the spatial resolution and the radiation dose. In the three-dimensional case corresponding to propagation-based phase-contrast tomography with phase retrieval according to Paganin's method, the optimization of the imaging setup is studied with respect to the source size, the detector resolution, the geometrical magnification and the X-ray energy.
format Preprint
id arxiv_https___arxiv_org_abs_2510_01892
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Signal-to-noise and spatial resolution in in-line imaging. 3. Optimization using a simple model
Gureyev, T. E.
Paganin, D. M.
Quiney, H. M.
Medical Physics
Optics
The problem of optimization of propagation-based phase-contrast imaging setups is considered in the case of projection X-ray imaging and three-dimensional tomography with phase retrieval. For two-dimensional imaging, a simple model for a homogeneous edge feature embedded in a bulk sample is used to obtain analytical expressions for the image intensity. This model allows for explicit optimization of the geometrical parameters of the imaging setup and the choice of X-ray energy that maximizes the image contrast or the contrast-to-noise ratio. We also consider the question of optimization of the biomedical X-ray imaging quality characteristic which balances the contrast-to-noise against the spatial resolution and the radiation dose. In the three-dimensional case corresponding to propagation-based phase-contrast tomography with phase retrieval according to Paganin's method, the optimization of the imaging setup is studied with respect to the source size, the detector resolution, the geometrical magnification and the X-ray energy.
title Signal-to-noise and spatial resolution in in-line imaging. 3. Optimization using a simple model
topic Medical Physics
Optics
url https://arxiv.org/abs/2510.01892