Evaluation of edge-illumination and propagation-based x-ray phase contrast imaging methods for high resolution imaging application

Pil-Ali, Abdollah; Adnani, Sahar; Scott, Christopher C.; Karim, Karim S.

doi:10.1117/12.2582225

Cited by 7 publications

(2 citation statements)

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“…Phase and scattering images are reconstructed using the unified modulated pattern analysis (UMPA) method deployed in our previous work for 2D scanning. 6,8 Multiple specimens with different minerals are imaged to investigate and differentiate the compositional minerals using the reported system.…”

Section: Methodsmentioning

confidence: 99%

Kidney stone compositional analysis and identification using a benchtop high-resolution multi-modal x-ray phase-contrast micro-CT imaging system

Pil-Ali,

Birch,

Adnani

et al. 2024

Medical Imaging 2024: Physics of Medical Imaging

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The prevalence of kidney stones has significantly risen among the elderly population in recent decades, with some countries experiencing rates approaching 15%. Due to high recurrence rates, analyzing stone composition is essential for recurrence prevention. Fourier transform infrared spectroscopy (FT-IR) and conventional x-ray diffractometry (XRD) are used for this purpose, however, both methods are labor-intensive and require skilled operators, as stones need careful dissection and grinding. Many kidney stones have heterogeneous compositions, and even with spectroscopic analyses, error rates remain high. Despite improvements, challenges in stone sampling and tiny material amounts can still lead to inaccuracies. This prompts the question of how to better manage patients and potentially enhance recurrence prevention strategies despite the shift toward spectroscopic techniques in analytical labs. In this work, we demonstrate the potential of an in-house grating-based highresolution X-ray phase-contrast µ-CT imaging system in characterizing kidney stones and their compositional analysis. Employing the reported compact benchtop X-ray phase-contrast µ-CT imaging system facilitates stone identification and analysis using additional quantitative data-phase and scattering-obtained from the emerging X-ray phase-contrast imaging system. Having the three sets of images -transmission, phase, and scattering -could potentially pave the way for an accurate and faster stone compositional analysis with clinical values in studying the pathophysiological mechanisms of kidney stone disease that could help improve the recurrence prevention rates.

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Section: Methodsmentioning

confidence: 99%

Kidney stone compositional analysis and identification using a benchtop high-resolution multi-modal x-ray phase-contrast micro-CT imaging system

Pil-Ali,

Birch,

Adnani

et al. 2024

Medical Imaging 2024: Physics of Medical Imaging

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“…It is obvious that non-destructive research methods have significant advantages for both the study of materials and medical diagnostics. Many of these methods are based on the interaction of X-ray radiation with matter, since X-ray has a relatively high penetrating ability [6,7]. Depending on the method and the area of research, sources with different values of X-ray parameters are used (intensity, wavelength, spectral and angular distribution, degree of coherence).…”

Section: Introductionmentioning

confidence: 99%

Modeling of X-Ray Phase Contrast Imaging of Optically Heterogeneous Objects

Ovcharenko,

Lebed

2024

J. Nano- Electron. Phys.

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The work relates to the study of the internal multi-layered structure of optically inhomogeneous objects by the X-ray phase contrast imaging method, which is an urgent issue of modern science, technology, nuclear physics and medicine. X-ray phase-contrast imaging makes it possible to examine weakly absorbing objects, reduce the radiation dose and increase the spatial resolution. Computer modeling of X-ray diffraction within the Fresnel-Kirchhoff scalar diffraction theory was used as the research method. An algorithm was developed for creating a model of a multilayer object with different values of the refraction decrement, which allows to specify the shape, size, number and thickness of layers, and the refractive index of each layer of the object. X-ray phase-contrast image was obtained for a multilayer object with a proportional decrease in the refraction decrement from the center to the edges by the free propagation approach. A comparative analysis was carried out with an X-ray image of a homogeneous object of the same size and shape. It is shown that the modeling result contains quantitative information about the internal structure of the object and its multi-layered nature.

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Edge-illumination x-ray phase-contrast imaging

Olivo¹

2021

J. Phys.: Condens. Matter

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Although early demonstration dates back to the mid-sixties, x-ray phase-contrast imaging (XPCI) became hugely popular in the mid-90s, thanks to the advent of 3rd generation synchrotron facilities. Its ability to reveal object features that had so far been considered invisible to x-rays immediately suggested great potential for applications across the life and the physical sciences, and an increasing number of groups worldwide started experimenting with it. At that time, it looked like a synchrotron facility was strictly necessary to perform XPCI with some degree of efficiency—the only alternative being micro-focal sources, the limited flux of which imposed excessively long exposure times. However, new approaches emerged in the mid-00s that overcame this limitation, and allowed XPCI implementations with conventional, non-micro-focal x-ray sources. One of these approaches showing particular promise for ‘real-world’ applications is edge-illumination XPCI: this article describes the key steps in its evolution in the context of contemporary developments in XPCI research, and presents its current state-of-the-art, especially in terms of transition towards practical applications.

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Evaluation of edge-illumination and propagation-based x-ray phase contrast imaging methods for high resolution imaging application

Cited by 7 publications

References 0 publications

Kidney stone compositional analysis and identification using a benchtop high-resolution multi-modal x-ray phase-contrast micro-CT imaging system

Kidney stone compositional analysis and identification using a benchtop high-resolution multi-modal x-ray phase-contrast micro-CT imaging system

Modeling of X-Ray Phase Contrast Imaging of Optically Heterogeneous Objects

Edge-illumination x-ray phase-contrast imaging

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