Principles of Different X-ray Phase-Contrast Imaging: A Review

Tao, Siwei; He, Congxiao; Hao, Xiang; Kuang, Cuifang; Liu, Xu

doi:10.3390/app11072971

Cited by 34 publications

(11 citation statements)

References 139 publications

(163 reference statements)

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“…Phase sensitive X-ray imaging techniques 1 – 3 such as propagation based imaging 4 , grating interferometry 5 – 9 , speckle based imaging 10 , 11 , or edge-illumination 12 provide complementary contrasts in addition to absorption contrast. In Talbot-Lau X-ray grating interferometry 8 (GI), for example, an absorption and a phase grating are inserted into an incoherent X-ray beam to generate interference patterns on an imaging detector, from which absorption, differential-phase, and dark-field contrasts are retrieved.…”

Section: Introductionmentioning

confidence: 99%

Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry

Tessarini

Fix

Manser

et al. 2022

Sci Rep

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Traditional simulation techniques such as wave optics methods and Monte Carlo (MC) particle transport cannot model both interference and inelastic scattering phenomena within one framework. Based on the rules of quantum mechanics to calculate probabilities, we propose a new semi-classical MC algorithm for efficient and simultaneous modeling of scattering and interference processes. The similarities to MC particle transport allow the implementation as a flexible c++ object oriented extension of EGSnrc—a well-established MC toolkit. In addition to previously proposed Huygens principle based transport through optics components, new variance reduction techniques for the transport through gratings are presented as transport options to achieve the required improvement in speed and memory costs necessary for an efficient exploration (system design—dose estimations) of the medical implementation of X-ray grating interferometry (GI), an emerging imaging technique currently subject of tremendous efforts towards clinical translation. The feasibility of simulation of interference effects is confirmed in four academic cases and an experimental table-top GI setup. Comparison with conventional MC transport show that deposited energy features of EGSnrc are conserved.

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Section: Introductionmentioning

confidence: 99%

Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry

Tessarini

Fix

Manser

et al. 2022

Sci Rep

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“…For a more comprehensive discussion of coherence-based radiography techniques, the reader can consult Refs. [32][33][34][35][36][37] and the references therein.…”

Section: Advanced Coherence-based X-ray Imaging Techniquesmentioning

confidence: 99%

Imaging with Coherent X-rays: From the Early Synchrotron Tests to SYNAPSE

Margaritondo

Hwu

2021

J. Imaging

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The high longitudinal and lateral coherence of synchrotron X-rays sources radically transformed radiography. Before them, the image contrast was almost only based on absorption. Coherent synchrotron sources transformed radiography into a multi-faceted tool that can extract information also from “phase” effects. Here, we report a very simple description of the new techniques, presenting them to potential new users without requiring a sophisticated background in advanced physics. We then illustrate the impact of such techniques with a number of examples. Finally, we present the international collaboration SYNAPSE (Synchrotrons for Neuroscience—an Asia-Pacific Strategic Enterprise), which targets the use of phase-contrast radiography to map one full human brain in a few years.

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“…During the years, different techniques have been proposed for detecting phase-contrast effects: propagation-based approach, diffraction-enhanced imaging, crystal interferometry, grating interferometry, the edge-illumination approach, and speckle-tracking [9,10]. Amongst the popular approaches that have been implemented for clinical work, is the so-called in-line or propagation-based phase-contrast imaging approach that already have clinical implementation for breast cancer imaging [11].…”

Section: Introductionmentioning

confidence: 99%

Computational simulations and assessment of two approaches for x-ray phase contrast imaging

Bliznakova

Dukov

2022

J. Phys.: Conf. Ser.

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X-ray phase-contrast imaging is a high-resolution imaging that permits an increase of the perceptibility of the details in three-dimensional objects, such as human tissues compared to conventional absorption imaging. There are different approaches for implementing phase-contrast imaging and their introduction into clinical practice requires advanced computational tools. A long-term goal of our research is the development of computational models of breast phase-contrast imaging. The aim of this study is to develop a software module for implementing grating-based phase-contrast imaging. For this purpose, an existing in-house software application for x-ray imaging with a function to model and simulate propagation-based phase-contrast x-ray images has been extended to include a model of grating-based imaging. To test the new functionality, four computational phantoms reflecting features, which can be screened in the real breast tissue and which differ in their complexity, were designed. Planar x-ray images in absorption, propagation-based and grating-based modes were generated and compared. Results showed improved visual appearance of the simulated objects in images obtained by simulating grating-based imaging setup. The developed subroutine is planned to be experimentally validated at synchrotron facility. The new software functionality will be exploited in studies related to new x-ray imaging techniques for breast screening and diagnosing.

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Principles of Different X-ray Phase-Contrast Imaging: A Review

Cited by 34 publications

References 139 publications

Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry

Semi-classical Monte Carlo algorithm for the simulation of X-ray grating interferometry

Imaging with Coherent X-rays: From the Early Synchrotron Tests to SYNAPSE

Computational simulations and assessment of two approaches for x-ray phase contrast imaging

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