Improved iterative tomographic reconstruction for x-ray imaging with edge-illumination

Modregger, Peter; Meganck, Jeff; Hagen, Charlotte K.; Massimi, Lorenzo; Olivo, Alessandro; Endrizzi, Marco

doi:10.1088/1361-6560/ab439d

Cited by 4 publications

(6 citation statements)

References 40 publications

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“…Table 2 benchmarks the performance of the combined experimental and algorithmic improvements described. The results of single shot reconstruction are not shown as it was already demonstrated in a previous publication that the iterative approach provides higher CNR values [23]. Computations times are given as relative to the entry with a value of 100, which was 219 s on a standard work station with an i5 CPU running at 2.10 GHz.…”

Section: Combined Resultsmentioning

confidence: 99%

“…The analytical gradients of S, which are essential for fast computation, as well as more details about the algorithm can be found in [23].…”

Section: Theoretical Basismentioning

confidence: 99%

“…With this publication, we are making the source code of this iterative approach to tomographic reconstruction of X-ray imaging with edge-illumination available to the public [22]. Thus, we would like to report on several significant improvements in the numerical implementation compared to our previous publication [23].…”

Section: Algorithmic Improvementsmentioning

confidence: 99%

“…Recently, we have established a model-based iterative approach to tomographic reconstruction for EI [23] that includes a potential drift of optical elements during a scan as well as a heuristic parameter for ring artifact suppression. In the following, we will identify a cause of occurring ring artifacts, use this understanding to improve both experimental scan protocols as well as the speed of tomographic reconstruction.…”

Section: Introductionmentioning

confidence: 99%

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Accelerated iterative tomographic reconstruction with x-ray edge illumination

Modregger¹,

Korzec²,

Meganck³

et al. 2022

Preprint

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Compared to standard tomographic reconstruction, iterative approaches offer the possibility to account for extraneous experimental influences, which allows for a suppression of related artifacts. However, the inclusion of corresponding parameters in the iterative forward model typically leads to longer computation times. Here, we demonstrate experimentally for phase sensitive X-ray imaging based on the edge illumination principle that inadequately sampled illumination curves result in ring artifacts in tomographic reconstructions. We take advantage of appropriately sampled illumination curves instead, which enables us to eliminate the corresponding parameter from the forward model and substantially increase computational speed. In addition, we demonstrate a 30% improvement in spatial resolution of the iterative approach compared with the standard non-iterative single shot approach. Further, we report on several significant improvements in our numerical implementation of the iterative approach, which we make available online with this publication. Finally, we show that the combination of both experimental and algorithmic advancement lead to a total speed increase by one order of magnitude and an improved contrast to noise ratio in the reconstructions.

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Section: Combined Resultsmentioning

confidence: 99%

“…The analytical gradients of S, which are essential for fast computation, as well as more details about the algorithm can be found in [23].…”

Section: Theoretical Basismentioning

confidence: 99%

Section: Algorithmic Improvementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Accelerated iterative tomographic reconstruction with x-ray edge illumination

Modregger¹,

Korzec²,

Meganck³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, the underpinning assumption is strictly valid only with a parallel beam, hence artifacts appear if a cone beam is used; moreover, the axis of rotation must be pre-aligned with the centre of a pixel. This can be solved through appropriate iterative reconstruction approaches [ 74 , 75 ], which tend to be more computationally expensive; however, they also offer the option to reduce the number of acquired projections [ 76 ] and/or dithering steps if an increased in-slice resolution is required [ 77 , 78 ].…”

Section: Edge-illumination X-ray Phase Contrast Imagingmentioning

confidence: 99%

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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Tracking based, high-resolution single-shot multimodal x-ray imaging in the laboratory enabled by the sub-pixel resolution capabilities of the MÖNCH detector

Dreier

Bergamaschi

Kallon³

et al. 2020

Applied Physics Letters

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The simultaneous retrieval of X-ray attenuation, phase, and scattering using multimodal imaging techniques is finding increased use in a range of applications, from medicine to materials science. Most techniques rely on the mechanical movement of an optical element (e.g. a grating or a mask) to obtain the multi-modal images. While single-shot approaches exist, they typically employ detector pixels smaller than the grating period, often with low detection efficiency, and are limited in resolution unless either the sample or the optical element is displaced in various positions and multiple frames are collected. In this paper, we replace mechanical motion with the MÖNCH detector's capability to reach sub-pixel resolutions by interpolating between neighbouring pixels collecting the charge generated by a single X-ray event. This enabled us to obtain the pilot demonstration of a laboratory-based high-resolution, single-shot multimodal imaging technique capable of simultaneously retrieving attenuation and directional differential phase and scatter images, without any mechanical movement. We show that our proof-of-concept setup enables a single-shot resolution of 19.5 μm, and that the resulting images provide sufficient information to produce a reliable sample thickness map. Furthermore, we demonstrate that the setup is capable of producing single-shot directional scattering images, while leaving open the option to further increase the resolution by using sample dithering.

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Improved iterative tomographic reconstruction for x-ray imaging with edge-illumination

Cited by 4 publications

References 40 publications

Accelerated iterative tomographic reconstruction with x-ray edge illumination

Accelerated iterative tomographic reconstruction with x-ray edge illumination

Edge-illumination x-ray phase-contrast imaging

Tracking based, high-resolution single-shot multimodal x-ray imaging in the laboratory enabled by the sub-pixel resolution capabilities of the MÖNCH detector

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