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Reduction of the Beam Hardening Artifacts in the X-Ray Computer Tomography: Energy Discrimination with a Photon-Counting Detector

机译:减少X射线计算机断层摄影术中的束硬化伪像:使用光子计数检测器进行能量辨别

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The material identification is a pressing requirement for the sensitive security applications. Dual-energy X-ray computer tomography (DXCT) has been investigated for material identification in the medical and security fields. It requires two tomographic images at sufficiently different energies. To discriminate dangerous materials of light elements such as plastic bombs in luggage, it is needed to measure accurately with several tens of kilo electron volts where such materials exhibit significant spectral differences. However, CT images in that energy region often include artifacts from beam hardening. To reduce these artifacts, a novel reconstruction method has been investigated. It is an extension of the Al-gebraic Reconstruction Technique and Total Variation (ART-TV) method that reduces the artifacts in a lower-energy CT image by referencing it to an image obtained at higher energy. The CT image of a titanium sample was recon-structed using this method in order to demonstrate the artifact reduction capability.
机译:材料标识是敏感安全应用程序的紧迫要求。已经对双能X射线计算机断层扫描(DXCT)进行了研究,以用于医疗和安全领域的材料识别。它需要两个具有足够不同能量的断层图像。为了区分轻元素的危险材料,例如行李箱中的塑料炸弹,需要使用几十千电子伏特的电压进行精确测量,其中此类材料表现出明显的光谱差异。但是,该能量区域中的CT图像通常包含来自束硬化的伪影。为了减少这些伪像,已经研究了一种新颖的重建方法。它是Al-代数重建技术和总变化(ART-TV)方法的扩展,该方法通过将低能CT图像引用到以更高能量获得的图像中来减少伪像。为了证明减少伪像的能力,使用此方法重建了钛样品的CT图像。

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