Signal-to-noise and spatial resolution in in-line imaging. 2. Phase-contrast tomography

In the first part of this paper, quantitative aspects of propagation-based phase-contrast imaging (PBI) were investigated using theoretical and numerical approaches, as well as experimental two-dimensional PBI images collected with plane monochromatic X-rays at a synchrotron beamline. In this second part, signal-to-noise ratio, spatial resolution and contrast are studied in connection with the radiation dose in three-dimensional PBI images of breast tissue samples obtained using propagation-based phase-contrast computed tomography (PB-CT) with energy-integrating and photon-counting detectors. The analysis is based on the theory of PBI and PB-CT using the homogeneous Transport of Intensity equation (Paganin's method). A biomedical X-ray imaging quality characteristic, suitable for quantitative assessment of X-ray images of biological samples, is introduced and applied. The key factors leading to high values of the biomedical X-ray imaging quality in PBI and to relatively low values of the same quality metric in CT imaging are identified and discussed in detail. This study is aimed primarily at developing tools for quantitative assessment and optimization of medical PB-CT imaging, initially at synchrotron facilities, with the prospect of subsequent transfer of the technology to medical clinics.

Authors

Institutions

Publication Details

Journal
Journal of Synchrotron Radiation
Published
2025-09-16
DOI
https://doi.org/10.1107/s1600577525007829
Citations
1
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
1.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Signal-to-noise and spatial resolution in in-line imaging. 2. Phase-contrast tomography

Konstantin M. Pavlov, Timur E. Gureyev, Harry M. Quiney, David M. Paganin et al.
1 citations
Journal of Synchrotron Radiation
Advanced X-ray Imaging Techniques
1.88
article

Signal-to-noise and spatial resolution in in-line imaging. 2. Phase-contrast tomography

Konstantin M. Pavlov, Timur E. Gureyev, Harry M. Quiney, David M. Paganin, Anton Maksimenko
article en
1 citations

Abstract

In the first part of this paper, quantitative aspects of propagation-based phase-contrast imaging (PBI) were investigated using theoretical and numerical approaches, as well as experimental two-dimensional PBI images collected with plane monochromatic X-rays at a synchrotron beamline. In this second part, signal-to-noise ratio, spatial resolution and contrast are studied in connection with the radiation dose in three-dimensional PBI images of breast tissue samples obtained using propagation-based phase-contrast computed tomography (PB-CT) with energy-integrating and photon-counting detectors. The analysis is based on the theory of PBI and PB-CT using the homogeneous Transport of Intensity equation (Paganin's method). A biomedical X-ray imaging quality characteristic, suitable for quantitative assessment of X-ray images of biological samples, is introduced and applied. The key factors leading to high values of the biomedical X-ray imaging quality in PBI and to relatively low values of the same quality metric in CT imaging are identified and discussed in detail. This study is aimed primarily at developing tools for quantitative assessment and optimization of medical PB-CT imaging, initially at synchrotron facilities, with the prospect of subsequent transfer of the technology to medical clinics.

Journal of Synchrotron RadiationVol. 32(6)
Australian Nuclear Science and Technology Organisation (AU), The University of Melbourne (AU), University of Canterbury (NZ), Australian Synchrotron (AU), Monash University (AU), University of New England (AU)
Openalex Percentile: Top 12%
Advanced X-ray Imaging Techniques
1.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.