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