Department of Engineering and Architecture, University of Trieste, Trieste, Italy. National Institute for Nuclear Physics (INFN), Trieste Division, Italy.
Phys Med Biol. 2020 Mar 6;65(5):055016. doi: 10.1088/1361-6560/ab7105.
K-edge subtraction (KES) imaging is a technique able to map a specific element such as e.g. a contrast agent within the tissues, by exploiting the sharp rise of its absorption coefficient at the K-edge energy. Whereas mainly explored at synchrotron radiation sources, the energy discrimination properties of modern x-ray photon counting detectors (XPCDs) pave the way for an implementation of single-shot KES imaging with conventional polychromatic sources. In this work we present an x-ray CT imaging system based on the innovative Pixie-III detector and discrete reconstruction. The results reported here show that a reliable automatic localization of Barium (above a certain concentration) is possible with a few dozens of tomographic projections for a volume having an axial slice of 512 [Formula: see text] 512 pixels. The final application is a routine high-fidelity 3D mapping of a specific element ready for further morphological quantification by means of x-ray CT with potential promising applications in vivo.
K 边减除(KES)成像是一种能够通过利用特定元素(例如对比剂)在 K 边能量处吸收系数的急剧增加来对其进行成像的技术。虽然主要在同步辐射源中进行探索,但现代 X 射线光子计数探测器(XPCD)的能量分辨特性为利用传统的多色源实现单次 KES 成像铺平了道路。在这项工作中,我们展示了一种基于创新的 Pixie-III 探测器和离散重建的 X 射线 CT 成像系统。这里报告的结果表明,对于具有 512 [Formula: see text] 512 像素轴向切片的体积,只需几十张层析投影即可可靠地自动定位钡(达到一定浓度以上)。最终应用是一种特定元素的常规高保真 3D 映射,可通过 X 射线 CT 进行进一步的形态量化,具有体内有应用前景。