Single-shot edge illumination x-ray phase-contrast tomography enabled by joint image reconstruction

Chen, Yujia; Guan, Huifeng; Hagen, Charlotte K.; Olivo, Alessandro; Anastasio, Mark A.

doi:10.1364/ol.42.000619

Cited by 19 publications

(30 citation statements)

References 9 publications

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“…The JR method seeks to estimate the distributions of absorption and refractive index decrement simultaneously by solving a penalized least square optimization problem [21] of the form:…”

Section: Joint Reconstruction (Jr) Methodsmentioning

confidence: 99%

“…Denote the discrete representations of the 2D Radon transform and its first-order derivatives as H ∈ R PQ×N and D ∈ R PQ×N , respectively. The D-D imaging model can then be expressed as [21]…”

Section: Discretized Imaging Modelmentioning

confidence: 99%

“…However, most existing single-shot technologies are restricted by certain assumptions -such as a parallel beam assumption [16] and a quasi-homogeneous object [17,20] -or require special hardwaresuch as energy sensitive detectors [18]. Recently, a joint reconstruction (JR) method was proposed for single-shot imaging [21,22]. Compared with other single-shot technologies, the JR method does not make restrictive assumptions that have been required in previous methods and does not rely on specialized hardware.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of data-acquisition designs for single-shot edge-illumination X-ray phase-contrast tomography

et al. 2019

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Edge-illumination X-ray phase-contrast tomography (EIXPCT) is an emerging technique that enables practical phase-contrast imaging with laboratory-based X-ray sources. A joint reconstruction method was proposed for reconstructing EIXPCT images, enabling novel flexible data-acquisition designs. However, only limited efforts have been devoted to optimizing data-acquisition designs for use with the joint reconstruction method. In this study, several promising designs are introduced, such as the constant aperture position (CAP) strategy and the alternating aperture position (AAP) strategy covering different angular ranges. In computersimulation studies, these designs are analyzed and compared. Experimental data are employed to test the designs in real-world applications. All candidate designs are also compared for their implementation complexity. The tradeoff between data-acquisition time and image quality is discussed.

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“…The JR method seeks to estimate the distributions of absorption and refractive index decrement simultaneously by solving a penalized least square optimization problem [21] of the form:…”

Section: Joint Reconstruction (Jr) Methodsmentioning

confidence: 99%

Section: Discretized Imaging Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of data-acquisition designs for single-shot edge-illumination X-ray phase-contrast tomography

et al. 2019

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“…Another retrieval method with the potential to reduce scan time is a single-shot technique, based on a joint reconstruction (JR) of the real and imaginary parts of the complex refractive index 48 . This method overcomes the requirement for parallel beam geometries, which was imposed by the reverse-projection relation.…”

Section: Adaptation To Computed Tomographymentioning

confidence: 99%

Recent advances in edge illumination x-ray phase-contrast tomography

et al. 2017

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Abstract. Edge illumination (EI) is an x-ray phase-contrast imaging technique, exploiting sensitivity to x-ray refraction to visualize features, which are often not detected by conventional absorption-based radiography. The method does not require a high degree of spatial coherence and is achromatic and, therefore, can be implemented with both synchrotron radiation and commercial x-ray tubes. Using different retrieval algorithms, information about an object's attenuation, refraction, and scattering properties can be obtained. In recent years, a theoretical framework has been developed that enables EI computed tomography (CT) and, hence, three-dimensional imaging. This review provides a summary of these advances, covering the development of different image acquisition schemes, retrieval approaches, and applications. These developments constitute an integral part in the transformation of EI CT into a widely spread imaging tool for use in a range of fields. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…[1][2][3][4][5][6][7] A variety of XPCI methods have been proposed, which include propagation-based imaging, 8,9 crystal analyzer-based imaging, [10][11][12] grating-based imaging based on the Talbot or Talbot-Lau effect, 2,13,14 and edge-illumination imaging. [15][16][17][18] Conventional implementations of the crystal analyzer-, grating-, and edge-illumination-based methods are generally referred to as differential XPCI methods since they typically yield estimates of the one-dimensional (1-D) derivative of the projected real-valued component of the refractive index distribution of an object. In this work, a tomographic implementation of differential XPCI is considered, referred to as differential x-ray phase-contrast tomography (D-XPCT).…”

Section: Introductionmentioning

confidence: 99%

Subspace-based resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography

et al. 2018

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It is well known that properly designed image reconstruction methods can facilitate reductions in imaging doses and data-acquisition times in tomographic imaging. The ability to do so is particularly important for emerging modalities, such as differential x-ray phase-contrast tomography (D-XPCT), which are currently limited by these factors. An important application of D-XPCT is high-resolution imaging of biomedical samples. However, reconstructing high-resolution images from few-view tomographic measurements remains a challenging task due to the high-frequency information loss caused by data incompleteness. In this work, a subspace-based reconstruction strategy is proposed and investigated for use in few-view D-XPCT image reconstruction. By adopting a two-step approach, the proposed method can simultaneously recover high-frequency details within a certain region of interest while suppressing noise and/or artifacts globally. The proposed method is investigated by the use of few-view experimental data acquired by an edge-illumination D-XPCT scanner.

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Single-shot edge illumination x-ray phase-contrast tomography enabled by joint image reconstruction

Cited by 19 publications

References 9 publications

Comparison of data-acquisition designs for single-shot edge-illumination X-ray phase-contrast tomography

Comparison of data-acquisition designs for single-shot edge-illumination X-ray phase-contrast tomography

Recent advances in edge illumination x-ray phase-contrast tomography

Subspace-based resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography

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