论文标题

用于全场X射线荧光成像的微孔光学元件的表征

Characterization of micro pore optics for full-field X-ray fluorescence imaging

论文作者

An, Siwen, Krapohl, David, Thörnberg, Benny, Roudot, Romain, Schyns, Emile, Norlin, Börje

论文摘要

可以通过使用针孔光学或微孔光学器件(MPO)或通过全场X射线荧光成像(FF-XRF)来实现元素映射图像。 FF-XRF的X射线光学元件可以使用不同的微通道几何形状(例如方形,六角形或圆形通道)制造。每个光学几何形状都会产生不同的成像伪像。正方形通道MPO由于单个通道内的正交通道壁进行了两次反射而产生高强度的中心位,这是图像形成的理想部分,并且由于仅在一个平面中的反射而形成十字架的两个垂直线。 因此,我们研究了在FF-XRF成像系统中方形通道MPO的性能。该设置由Photonis提供的市售MPO和带有硅检测器的TimePix3读取芯片组成。来自小金属颗粒的荧光成像已被用于获得点扩散功能(PSF)特征。通过MPO通道的传播以及临界反射角的变化的特征是测量了铜和钛金属碎片的荧光。由于反射的临界角度取决于能量,因此跨臂伪像将对不同的荧光能量的分辨率有所不同。由于PSF函数的形式,可以识别金属碎片。 PSF函数可以使用傅立叶变换来进一步表征,以抑制图像中的扩散背景信号。

Elemental mapping images can be achieved through step scanning imaging using pinhole optics or micro pore optics (MPO), or alternatively by full-field X-ray fluorescence imaging (FF-XRF). X-ray optics for FF-XRF can be manufactured with different micro-channel geometries such as square, hexagonal or circular channels. Each optic geometry creates different imaging artefacts. Square-channel MPOs generate a high intensity central spot due to two reflections via orthogonal channel walls inside a single channel, which is the desirable part for image formation, and two perpendicular lines forming a cross due to reflections in one plane only. Thus, we have studied the performance of a square-channel MPO in an FF-XRF imaging system. The setup consists of a commercially available MPO provided by Photonis and a Timepix3 readout chip with a silicon detector. Imaging of fluorescence from small metal particles has been used to obtain the point spread function (PSF) characteristics. The transmission through MPO channels and variation of the critical reflection angle are characterized by measurements of fluorescence from Copper and Titanium metal fragments. Since the critical angle of reflection is energy dependent, the cross-arm artefacts will affect the resolution differently for different fluorescence energies. It is possible to identify metal fragments due to the form of the PSF function. The PSF function can be further characterized using a Fourier transform to suppress diffuse background signals in the image.

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