Phase retrieval in 3D X-ray magnified phase nano CT: Imaging bone tissue at the nanoscale

Yu, Boliang; Weber, Loriane; Pacureanu, Alexandra; Langer, Max; Olivier, Cécile; Cloetens, Peter; Peyrin, Françoise

doi:10.1109/isbi.2017.7950467

Cited by 7 publications

(8 citation statements)

References 12 publications

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“…Such image sequences are known as through-focal series (Saxton, 1994;Cloetens et al, 1999), and are important in high-resolution X-ray phase retrieval (Cloetens et al,. 1999;Gureyev, Pogany, Paganin, & Wilkins, 2004a;Gureyev, Davis, Pogany, Mayo, & Wilkins, 2004b;Yu et al, 2017;Yu et al, 2018;Kuan et al, 2020). Another means, to generate a series of different states of a coherent imaging system in the context of phase retrieval, is to tune the so-called "coherent aberrations" (e.g.…”

Section: A Phase-retrieval Inverse Problemmentioning

confidence: 99%

X-ray phase-contrast imaging: a broad overview of some fundamentals

Paganin,

Pelliccia

2020

Preprint

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We outline some basics of imaging using both fully-coherent and partiallycoherent X-ray beams, with an emphasis on phase-contrast imaging.We open with some of the basic notions of X-ray imaging, including the vacuum wave equations and the physical meaning of the intensity and phase of complex scalar fields. The projection approximation is introduced, together with the concepts of attenuation contrast and phase contrast. We also outline the multi-slice approach to X-ray propagation through thick samples or optical elements, together with the Fresnel scaling theorem. Having introduced the fundamentals, we then consider several aspects of the forward problem, of modelling the formation of phase-contrast X-ray images. Several topics related to this forward problem are considered, including the transport-of-intensity equation, arbitrary linear imaging systems, shift-invariant linear imaging systems, the transfer-function formalism, blurring induced by finite source size, the space-frequency model for partially-coherent fields, and the Fokker-Planck equation for paraxial X-ray imaging. Having considered these means for modelling the formation of X-ray phase-contrast images, we then consider aspects of the associated inverse problem of phase retrieval. This concerns how one may decode phase-contrast images to gain information regarding the sample-induced attenuation and phase shift.Fifteen video lectures, based on a preliminary version of this chapter, are available online at: https://bit.ly/2GdoVg8.

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Section: A Phase-retrieval Inverse Problemmentioning

confidence: 99%

X-ray phase-contrast imaging: a broad overview of some fundamentals

Paganin,

Pelliccia

2020

Preprint

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“…For example, the phoenix nanotom® m, which is a nanoCT® system, has been used in industry and realized a unique spatial and contrast resolution on a wide sample and application range. Nano-CT also has been developed at the European synchrotron radiation facility (ESRF) to image bone tissue at the nanoscale [112].…”

Section: Nano-ctmentioning

confidence: 99%

Research Status and Prospect for CT Imaging

Liu¹

2018

State of the Art in Nano-Bioimaging

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Computed tomography (CT) is a very valuable imaging method and plays an important role in clinical diagnosis. As people pay more and more attention to radiation doses these years, decreasing CT radiation dose without affecting image quality is a hot direction for research of medical imaging in recent years. This chapter introduces the research status of low-dose technology from following aspects: low-dose scan implementation, reconstruction methods and image processing methods. Furthermore, other technologies related to the development tendency of CT, such as automatic tube current modulation technology, rapid peak kilovoltage (kVp) switching technology, dual-source CT technology and Nano-CT, are also summarized. Finally, the future research prospect are discussed and analyzed.

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“…Nano-CT is an emerging imaging technique that provides a much higher spatial resolution than its precedent Micro-CT, and has been widely used in many fields such as material science [1], biomedicine [2], and chemical application [3].…”

Section: Introductionmentioning

confidence: 99%

Scalable double regularization for 3D Nano-CT reconstruction

Tang

2020

Journal of Petroleum Science and Engineering

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Nano-CT (computerized tomography) has emerged as a non-destructive highresolution cross-sectional imaging technique to effectively study the sub-µm pore structure of shale, which is of fundamental importance to the evaluation and development of shale oil and gas. Nano-CT poses unique challenges to the inverse problem of reconstructing the 3D structure due to the lower signal-to-noise ratio (than Micro-CT) at the nano-scale, increasing sensitive to the misaligned geometry caused by the movement of object manipulator, limited sample size, and a larger volume of data at higher resolution. In this paper, we propose a scalable double regularization (SDR) method to utilize the entire dataset for simultaneous 3D structural reconstruction across slices through total variation regularization within slices and L 1 regularization between adjacent slices. SDR allows information borrowing both within and between slices, contrasting with the traditional methods that usually build on slice by slice reconstruction. We develop a scalable and memory-efficient algorithm by exploiting the systematic sparsity and consistent geometry induced by such Nano-CT data. We illustrate the proposed method by simulation and a real data application using shale rocks acquired in the Sichuan Basin.

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Phase retrieval in 3D X-ray magnified phase nano CT: Imaging bone tissue at the nanoscale

Cited by 7 publications

References 12 publications

X-ray phase-contrast imaging: a broad overview of some fundamentals

X-ray phase-contrast imaging: a broad overview of some fundamentals

Research Status and Prospect for CT Imaging

Scalable double regularization for 3D Nano-CT reconstruction

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