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Modelling the channel-wise count response of a photon-counting spectral CT detector to a broad x-ray spectrum

机译:模拟光子计数光谱CT检测器对宽X射线光谱的按通道计数响应

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Variations among detector channels in CT very sensitively lead to ring artefacts in the reconstructed images. For material decomposition in the projection domain, the variations can result in intolerable biases in the material line integral estimates. A typical way to overcome these effects is to apply calibration methods that try to unify spectral responses from different detector channels to an ideal response from a detector model. However, the calibration procedure can be rather complex and require excessive calibration measurements for a multitude of combinations of x-ray shapes, tissue combinations and thicknesses. In this paper, we propose a channel-wise model for a multibin photon-counting detector for spectral CT. Predictions of this channel-wise model match well with their physical performances, which can thus be used to eliminate ring artefacts in CT images and achieve projection-basis material decomposition. In an experimental validation, image data show significant improvement with respect to ring artefacts compared to images calibrated with flat-fielding data. Projection-based material decomposition gives basis material images showing good separation among individual materials and good quantification of iodine and gadolinium contrast agents. The work indicates that the channel-wise model can be used for quantitative CT with this detector.
机译:CT中检测器通道之间的变化非常敏感地导致在重建图像中出现环形伪影。对于投影域中的材料分解,这些变化可能导致材料线积分估计中出现无法容忍的偏差。克服这些影响的一种典型方法是应用校准方法,这些方法试图将来自不同检测器通道的光谱响应统一为来自检测器模型的理想响应。然而,校准过程可能相当复杂,并且对于多个X射线形状,组织组合和厚度的组合需要过多的校准测量。在本文中,我们提出了一种用于光谱CT的多仓光子计数检测器的逐通道模型。这种基于通道的模型的预测与其物理性能非常匹配,因此可以用于消除CT图像中的环伪影,并实现基于投影的材料分解。在实验验证中,与使用平场数据校准的图像相比,图像数据在环伪影方面显示出显着改善。基于投影的材料分解给出了基础材料图像,该图像显示了各个材料之间的良好分离以及碘和g造影剂的良好定量。这项工作表明,该探测器可以将通道模型用于定量CT。

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