The purpose of this work is, firstly, to propose an optimized parametrization of the attenuation coefficient to describe human tissues in the context of projection-based material characterization with multi-energy CT. The approach is based on eigentissue decomposition (ETD). Secondly, to evaluate its benefits in terms of accuracy and precision of radiotherapy-related parameters against established parametrizations. The attenuation coefficient is parametrized as a linear combination of virtual materials, eigentissues, obtained by performing principal component analysis on a set of reference tissues in order to optimally represent human tissue composition. Two implementations of ETD are compared with other pre-reconstruction formalisms established for dual-energy and photon-counting CT in a simulation framework. The first implementation uses a single set of eigentissues to describe all human tissues, while the second uses different sets of eigentissues to characterize soft tissues...

中文翻译：

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利用特征组织分解对多能量CT投影数据进行参数化。

这项工作的目的是，首先提出一种优化的衰减系数参数化方法，以在利用多能CT进行基于投影的材料表征的情况下描述人体组织。该方法基于本征组织分解（ETD）。其次，根据已建立的参数化，根据放射治疗相关参数的准确性和精确性评估其益处。衰减系数被参数化为虚拟材料（本征组织）的线性组合，该虚拟材料是通过对一组参考组织进行主成分分析来获得的，以最佳地代表人体组织成分。将ETD的两种实现方式与在模拟框架中为双能和光子计数CT建立的其他重建前形式主义进行了比较。