Imaging the Ultrasmall-Angle X-Ray Scattering Distribution with Grating Interferometry

Modregger, Peter; Scattarella, Francesco; Pinzer, B; Dávid, Christian; Bellotti, R.; Stampanoni, Marco

doi:10.1103/physrevlett.108.048101

Cited by 68 publications

(100 citation statements)

References 17 publications

(20 reference statements)

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“…The scattering distribution g(φ ) can be accessed by deconvolution methods as for example the Lucy-Richardson algorithm as also proposed by Modregger et al [10]. The image contrasts, absorption A, differential phase P and dark field B, as obtained by the FFT method, can be received from the zeroth, first and second moment of the scattering distribution as Fig.…”

Section: Theorymentioning

confidence: 99%

“…On the other hand, Modregger et al [10] proposed an alternative method based on the assumption that the PSC with object s(φ ) is obtained by the convolution of the PSC without object f (φ ) and a scattering distribution g(φ ) containing the object information [12] …”

Section: Theorymentioning

confidence: 99%

“…In order to further improve the image quality in grating-based X-ray phase-contrast imaging, the performance of the novel information retrieval algorithm proposed by Modregger et al [10] was investigated using a laboratory X-ray source. Furthermore, the obtained results were compared to the well established and commonly used phase retrieval method introduced by Weitkamp et al [11] and expanded to darkfield imaging by Pfeiffer et al [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Increasing the darkfield contrast-to-noise ratio using a deconvolution-based information retrieval algorithm in X-ray grating-based phase-contrast imaging

Weber¹,

Pelzer²,

Bayer³

et al. 2013

Opt. Express

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A novel information retrieval algorithm for X-ray grating-based phase-contrast imaging based on the deconvolution of the object and the reference phase stepping curve (PSC) as proposed by Modregger et al. was investigated in this paper. We applied the method for the first time on data obtained with a polychromatic spectrum and compared the results to those, received by applying the commonly used method, based on a Fourier analysis. We confirmed the expectation, that both methods deliver the same results for the absorption and the differential phase image. For the darkfield image, a mean contrast-to-noise ratio (CNR) increase by a factor of 1.17 using the new method was found. Furthermore, the dose saving potential was estimated for the deconvolution method experimentally. It is found, that for the conventional method a dose which is higher by a factor of 1.66 is needed to obtain a similar CNR value compared to the novel method. A further analysis of the data revealed, that the improvement in CNR and dose efficiency is due to the superior background noise properties of the deconvolution method, but at the cost of comparability between measurements at different applied dose values, as the mean value becomes dependent on the photon statistics used.

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Section: Theorymentioning

confidence: 99%

Section: Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Increasing the darkfield contrast-to-noise ratio using a deconvolution-based information retrieval algorithm in X-ray grating-based phase-contrast imaging

Weber¹,

Pelzer²,

Bayer³

et al. 2013

Opt. Express

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show abstract

“…Well-established techniques such as X-ray photon correlation spectroscopy [2], coherent X-ray diffraction imaging [3], lensless imaging [4], phase contrast imaging [5][6][7][8] as well as the recently developed ptychography [9], polyCDI [10] and GI-USAXS [11] are only a few to be named. Accordingly, the precise knowledge of source size and its modification by Xray optical elements remains a crucial part in beamline construction, methods development as well as in different kinds of simulations and evaluations dealing with image formation therein.…”

Section: Introductionmentioning

confidence: 99%

A robust tool for photon source geometry measurements using the fractional Talbot effect

Lovrić¹,

Oberta²,

Mohácsi³

et al. 2014

Opt. Express

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Originally published at: Lovric, Goran; Oberta, Peter; Mohacsi, Istvan; Stampanoni, Marco; Mokso, Rajmund (2014). A robust tool for photon source geometry measurements using the fractional Talbot effect. Optics Express, 22(3):2745. DOI: https://doi.org/10.1364/OE.22.002745A robust tool for photon source geometry measurements using the fractional Talbot effect Paul Scherrer Institute, 5232 Villigen, Switzerland *goran.lovric@psi.ch Abstract: A reliable measurement of beam coherence is important for optimal performance of a number of coherence methods being utilized at third-generation synchrotrons and free-electron lasers. Various approaches have been proposed in the past for determining the source size, and hence the degree of coherence; however they often require complex setups with perfect optics and suffer from undefined uncertainties. We present a robust tool for X-ray source characterization with a full quantitative uncertainty analysis for fast on-the-fly coherence measurements. The influence of three multilayer monochromator crystals on the apparent source size is evaluated using the proposed method.

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“…However, our approach should provide new insights into the matter, since it combines MC with wave optics within the same framework. This should provide an ideal tool for the investigation of the scattering process within a sample that can for instance be used to investigate the physical interpretation as well as the potential application of the ultrasmall-angle X-ray scattering with GI (Modregger et al, 2012). Owing to the combination of MC and wave optics, our framework can be used for different phase-sensitive X-ray imaging methods; it would also be applicable for the exploration of the parameter space or optimization of different set-ups.…”

Section: Introductionmentioning

confidence: 99%

Combining Monte Carlo methods with coherent wave optics for the simulation of phase-sensitive X-ray imaging

et al. 2014

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Phase-sensitive X-ray imaging shows a high sensitivity towards electron density variations, making it well suited for imaging of soft tissue matter. However, there are still open questions about the details of the image formation process. Here, a framework for numerical simulations of phase-sensitive X-ray imaging is presented, which takes both particle-and wave-like properties of X-rays into consideration. A split approach is presented where we combine a Monte Carlo method (MC) based sample part with a wave optics simulation based propagation part, leading to a framework that takes both particle-and wavelike properties into account. The framework can be adapted to different phasesensitive imaging methods and has been validated through comparisons with experiments for grating interferometry and propagation-based imaging. The validation of the framework shows that the combination of wave optics and MC has been successfully implemented and yields good agreement between measurements and simulations. This demonstrates that the physical processes relevant for developing a deeper understanding of scattering in the context of phase-sensitive imaging are modelled in a sufficiently accurate manner. The framework can be used for the simulation of phase-sensitive X-ray imaging, for instance for the simulation of grating interferometry or propagation-based imaging.

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Imaging the Ultrasmall-Angle X-Ray Scattering Distribution with Grating Interferometry

Cited by 68 publications

References 17 publications

Increasing the darkfield contrast-to-noise ratio using a deconvolution-based information retrieval algorithm in X-ray grating-based phase-contrast imaging

Increasing the darkfield contrast-to-noise ratio using a deconvolution-based information retrieval algorithm in X-ray grating-based phase-contrast imaging

A robust tool for photon source geometry measurements using the fractional Talbot effect

Combining Monte Carlo methods with coherent wave optics for the simulation of phase-sensitive X-ray imaging

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