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双能 X 射线暗场物质分解。

Dual-Energy X-Ray Dark-Field Material Decomposition.

出版信息

IEEE Trans Med Imaging. 2021 Mar;40(3):974-985. doi: 10.1109/TMI.2020.3043303. Epub 2021 Mar 2.

DOI:10.1109/TMI.2020.3043303
PMID:33290214
Abstract

Dual-energy imaging is a clinically well-established technique that offers several advantages over conventional X-ray imaging. By performing measurements with two distinct X-ray spectra, differences in energy-dependent attenuation are exploited to obtain material-specific information. This information is used in various imaging applications to improve clinical diagnosis. In recent years, grating-based X-ray dark-field imaging has received increasing attention in the imaging community. The X-ray dark-field signal originates from ultra small-angle scattering within an object and thus provides information about the microstructure far below the spatial resolution of the imaging system. This property has led to a number of promising future imaging applications that are currently being investigated. However, different microstructures can hardly be distinguished with current X-ray dark-field imaging techniques, since the detected dark-field signal only represents the total amount of ultra small-angle scattering. To overcome these limitations, we present a novel concept called dual-energy X-ray dark-field material decomposition, which transfers the basic material decomposition approach from attenuation-based dual-energy imaging to the dark-field imaging modality. We develop a physical model and algorithms for dual-energy dark-field material decomposition and evaluate the proposed concept in experimental measurements. Our results suggest that by sampling the energy-dependent dark-field signal with two different X-ray spectra, a decomposition into two different microstructured materials is possible. Similar to dual-energy imaging, the additional microstructure-specific information could be useful for clinical diagnosis.

摘要

双能成像是一种临床应用成熟的技术,与传统 X 射线成像相比具有多项优势。通过对两个不同的 X 射线光谱进行测量,利用能量相关衰减的差异来获取物质特异性信息。该信息用于各种成像应用中,以提高临床诊断水平。近年来,基于光栅的 X 射线暗场成像在成像领域受到越来越多的关注。X 射线暗场信号源于物体内部的超小角度散射,因此提供了有关成像系统空间分辨率以下的微观结构的信息。这种特性带来了一些有前途的未来成像应用,目前正在研究中。然而,由于当前的 X 射线暗场成像技术只能检测到总超小角度散射量,因此很难区分不同的微观结构。为了克服这些限制,我们提出了一种新的概念,称为双能 X 射线暗场材料分解,它将基于衰减的双能成像中的基本材料分解方法转移到暗场成像模式中。我们开发了用于双能暗场材料分解的物理模型和算法,并在实验测量中评估了所提出的概念。我们的结果表明,通过用两个不同的 X 射线光谱对能量相关的暗场信号进行采样,可以将其分解为两种不同的微观结构材料。与双能成像类似,额外的微观结构特异性信息可能对临床诊断有用。

相似文献

1
Dual-Energy X-Ray Dark-Field Material Decomposition.双能 X 射线暗场物质分解。
IEEE Trans Med Imaging. 2021 Mar;40(3):974-985. doi: 10.1109/TMI.2020.3043303. Epub 2021 Mar 2.
2
Exact dual energy material decomposition from inconsistent rays (MDIR).从不一致射线(MDIR)中进行精确双能物质分解。
Med Phys. 2011 Feb;38(2):691-700. doi: 10.1118/1.3533686.
3
Complex dark-field contrast and its retrieval in x-ray phase contrast imaging implemented with Talbot interferometry.基于塔尔博特干涉术的X射线相衬成像中的复杂暗场对比度及其恢复
Med Phys. 2014 Oct;41(10):101914. doi: 10.1118/1.4896098.
4
Implementation of dual- and triple-energy cone-beam micro-CT for postreconstruction material decomposition.双能和三能锥束显微CT在重建后材料分解中的应用。
Med Phys. 2008 Nov;35(11):5030-42. doi: 10.1118/1.2987668.
5
Quantitative material decomposition using spectral computed tomography with an energy-resolved photon-counting detector.使用带有能量分辨光子计数探测器的光谱计算机断层扫描进行定量材料分解。
Phys Med Biol. 2014 Sep 21;59(18):5457-82. doi: 10.1088/0031-9155/59/18/5457. Epub 2014 Aug 28.
6
Dark-field computed tomography reaches the human scale.暗场计算机断层扫描达到人体尺度。
Proc Natl Acad Sci U S A. 2022 Feb 22;119(8). doi: 10.1073/pnas.2118799119.
7
Quantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations.基于数值波动光学模拟的散斑 X 射线暗场成像定量分析。
Sci Rep. 2021 Aug 9;11(1):16113. doi: 10.1038/s41598-021-95227-9.
8
On the quantification of sample microstructure using single-exposure x-ray dark-field imaging via a single-grid setup.基于单网格设置的单次曝光 X 射线暗场成像对样品微观结构的定量分析。
Sci Rep. 2023 Jul 7;13(1):11001. doi: 10.1038/s41598-023-37334-3.
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Efficacy of fixed filtration for rapid kVp-switching dual energy x-ray systems.固定滤过对快速千伏切换双能X射线系统的效能
Med Phys. 2014 Mar;41(3):031914. doi: 10.1118/1.4866381.
10
X-Ray Dark-Field Signal Reduction Due to Hardening of the Visibility Spectrum.X 射线暗场信号由于可见光谱的硬化而减少。
IEEE Trans Med Imaging. 2024 Apr;43(4):1422-1433. doi: 10.1109/TMI.2023.3337994. Epub 2024 Apr 3.

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Tomography. 2024 Nov 11;10(11):1780-1797. doi: 10.3390/tomography10110131.
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Spectral X-ray dark-field signal characterization from dual-energy projection phase-stepping data with a Talbot-Lau interferometer.基于泰伯-劳光干涉仪的双能投影相移技术的光谱 X 射线暗场信号特征描述。
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