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使用能量分辨探测器的亚像素X射线成像。

Subpixel x-ray imaging with an energy-resolving detector.

作者信息

Persson Mats, Holmin Staffan, Karlsson Staffan, Bornefalk Hans, Danielsson Mats

机构信息

Royal Institute of Technology, Department of Physics, Stockholm, Sweden.

Karolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden.

出版信息

J Med Imaging (Bellingham). 2018 Jan;5(1):013507. doi: 10.1117/1.JMI.5.1.013507. Epub 2018 Mar 20.

Abstract

The detector pixel size can be a severe limitation in x-ray imaging of fine details in the human body. We demonstrate a method of using spectral x-ray measurements to image the spatial distribution of the linear attenuation coefficient on a length scale smaller than one pixel, based on the fact that interfaces parallel to the x-ray beam have a unique spectral response, which distinguishes them from homogeneous materials. We evaluate the method in a simulation study by simulating projection imaging of the border of an iodine insert with [Formula: see text] in a soft tissue phantom. The results show that the projected iodine profile can be recovered with an RMS resolution of 5% to 34% of the pixel size, using an ideal energy-resolving detector. We also validate this method in an experimental study by imaging an iodine insert in a polyethylene phantom using a photon-counting silicon-strip detector. The results show that abrupt and gradual transitions can be distinguished based on the transmitted x-ray spectrum, in good agreement with simulations. The demonstrated method may potentially be used for improving visualization of blood vessel boundaries, e.g., in acute stroke care.

摘要

探测器像素尺寸可能会严重限制人体细微结构的X射线成像。我们展示了一种利用光谱X射线测量来成像线性衰减系数空间分布的方法,其长度尺度小于一个像素,这基于与X射线束平行的界面具有独特光谱响应这一事实,该响应将它们与均匀材料区分开来。我们在模拟研究中通过模拟软组织体模中含[公式:见正文]的碘插入物边界的投影成像来评估该方法。结果表明,使用理想的能量分辨探测器,投影碘轮廓能够以像素尺寸的5%至34%的均方根分辨率恢复。我们还在实验研究中通过使用光子计数硅条探测器对聚乙烯体模中的碘插入物进行成像来验证该方法。结果表明,基于透射X射线光谱可以区分突然和逐渐的转变,这与模拟结果高度吻合。所展示的方法可能潜在地用于改善血管边界的可视化,例如在急性中风护理中。

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Subpixel x-ray imaging with an energy-resolving detector.使用能量分辨探测器的亚像素X射线成像。
J Med Imaging (Bellingham). 2018 Jan;5(1):013507. doi: 10.1117/1.JMI.5.1.013507. Epub 2018 Mar 20.

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