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Fan-Beam X-ray Fluorescence Computed Tomography (XFCT) With Gold Nanoparticles

机译:纳米金扇束X射线荧光计算机断层扫描(XFCT)

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X-ray fluorescence computed tomography (XFCT) is a promising imaging modality. It calculates the spatial distribution and concentration of various elements by detecting the fluorescent signals excited by incident x-rays. XFCT has a promising future in the fields like molecular imaging in fundamental studies, drug development and clinical experiments. XFCT was used to be performed on synchrotron radiation source. However, the synchrotron radiation facility is not available for most researchers. So people are exploring the feasibility of performing XFCT imaging using benchtop X-ray tube under a typical laboratory setting. In this paper, we demonstrated a simulation study of a fan-beam XFCT. We use the SpekCalc software to simulate the polychromatic source and a phantom composed of PMMA and four gold nanoparticles solver with different concentrations is imaged. Linear photon counting detector arrays are used to detect the fluorescent signals. ML-EM algorithm is used to reconstruct the image. Specific scattering correction and attenuation correction methods are also proposed to improve the quality of reconstructed images.
机译:X射线荧光计算机断层扫描(XFCT)是一种很有前途的成像方式。它通过检测入射X射线激发的荧光信号来计算各种元素的空间分布和浓度。 XFCT在基础研究,药物开发和临床实验中的分子成像等领域具有广阔的前景。 XFCT用于在同步加速器辐射源上执行。但是,大多数研究人员无法使用同步辐射装置。因此,人们正在探索在典型的实验室环境下使用台式X射线管进行XFCT成像的可行性。在本文中,我们演示了扇形束XFCT的仿真研究。我们使用SpekCalc软件来模拟多色光源,并对由PMMA和四个不同浓度的金纳米粒子求解器组成的模型进行成像。线性光子计数检测器阵列用于检测荧光信号。 ML-EM算法用于重建图像。还提出了特定的散射校正和衰减校正方法以提高重建图像的质量。

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