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Recovering refraction and attenuation information in an unknown sample using x-ray propagation-based phase-contrast tomography.
- Source :
-
AIP Conference Proceedings . 9/2/2023, Vol. 2990 Issue 1, p1-10. 10p. - Publication Year :
- 2023
-
Abstract
- Phase-contrast X-ray imaging (PCXI) techniques employ both X-ray refraction and attenuation to generate image contrast, and are therefore capable of forming high-quality images of weakly attenuating samples, for example, soft-tissues in mammography. Propagation-based phase-contrast X-ray imaging (PB-PCXI) is an especially simple PCXI technique as it requires no additional precision optics in the experimental set-up, and hence can be easily implemented in numerous disciplines. We recently published a PB-PCXI algorithm capable of extracting the real, δ, and imaginary, β, refractive index components of composite materials within an unknown sample [1]. This was previously applied to PB-PCXI data collected using a synchrotron facility where the X-ray wavefield was monochromatic, highly coherent, and paraxial. Within this work, we have validated, and further extended, this approach by applying it to PB-PCXI data collected using a conventional laboratory X-ray source that produces a polychromatic, relatively temporally incoherent and divergent wavefield. We demonstrate that our previously published phase and attenuation extraction algorithm can be applied to biological tissue sample data collected using such a laboratory X-ray source, thereby broadening the applicability of this algorithm. A link to a repository is provided, where a Python3 script implementing this approach can be downloaded. [ABSTRACT FROM AUTHOR]
- Subjects :
- *X-rays
*X-ray imaging
*TOMOGRAPHY
*REFRACTIVE index
*TISSUES
*SYNCHROTRONS
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2990
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 172420827
- Full Text :
- https://doi.org/10.1063/5.0168155