Publication
Title
A condensed history approach to X-ray dark field effects in edge illumination phase contrast simulations
Author
Abstract
X-ray dark field signals, measurable in many x-ray phase contrast imaging (XPCI) setups, stem from unresolvable microstructures in the scanned sample. This makes them ideally suited for the detection of certain pathologies, which correlate with changes in the microstructure of a sample. Simulations of x-ray dark field signals can aid in the design and optimization of XPCI setups, and the development of new reconstruction techniques. Current simulation tools, however, require explicit modelling of the sample microstructures according to their size and spatial distribution. This process is cumbersome, does not translate well between different samples, and considerably slows down simulations. In this work, a condensed history approach to modelling x-ray dark field effects is presented, under the assumption of an isotropic distribution of microstructures, and applied to edge illumination phase contrast simulations. It substantially simplifies the sample model, can be easily ported between samples, and is two orders of magnitude faster than conventional dark field simulations, while showing equivalent results.Clinical relevance— Dark field signal provides information on the microstructure distribution within the investigated sample, which can be applied in areas such as histology and lung x-ray imaging. Efficient simulation tools for this dark field signal aid in optimizing scanning setups, acquisition schemes and reconstruction techniques.
Language
English
Source (book)
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 24-27 July 2023, Sydney, Australia
Publication
IEEE , 2023
ISBN
979-83-503-2447-1
DOI
10.1109/EMBC40787.2023.10340826
Volume/pages
p. 1-4
Pubmed ID
38083284
Full text (Publisher's DOI)
Full text (open access)
The author-created version that incorporates referee comments and is the accepted for publication version Available from 13.06.2024
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Fiber orientation distribution estimation of fiber reinforced polymers using phase contrast X-ray tomography.
Adaptive edge illumination-based phase contrast imaging.
Next generation X-ray phasecontrast imaging for food quality and process engineering.
X-ray reconstruction of foam microstructure formation.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 14.12.2023
Last edited 15.12.2023
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