Hybrid decomposition method for dual energy CT

Le Shen, Yuxiang Xing, Li Zhang, Qingping Huang, Xin Jin
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引用次数: 3

Abstract

Dual energy CT (DECT) can target to reconstruct the spatial distribution of the electron density and the atomic number or the mass density of materials. In the literature, there are two kinds of processing methods for DECT to incorporate analytically the basis function decomposition. Taking decomposition in projection-domain before spatial reconstruction is referred as pre-processing method, while taking decomposition from the low energy and high energy attenuation images reconstructed directly from two energy projection data is post-processing method. In this paper, we propose a hybrid decomposition method which combines the thoughts of both preprocess and post-process methods. In our method, two distinct virtual monochromatic projection data is firstly estimated. Then, the material information is extracted from virtual monochromatic attenuation images reconstructed. We demonstrate that our method is more accurate than the pre-processing and post-processing method in simulation studies. Furthermore, the virtual monochromatic attenuation, electron density, atomic number and basis material density can be achieved simultaneously by performing a standard reconstruction twice only, which makes the proposed method computational efficient and practical.
双能CT的混合分解方法
双能CT (DECT)可以重建材料的电子密度和原子序数或质量密度的空间分布。在文献中,对DECT进行解析性基函数分解的处理方法有两种。在空间重构前在投影域进行分解称为预处理方法,而对两个能量投影数据直接重构的低能和高能衰减图像进行分解称为后处理方法。本文提出了一种融合了预处理和后处理思想的混合分解方法。该方法首先对两个不同的虚拟单色投影数据进行估计。然后,从重建的虚拟单色衰减图像中提取材料信息;在仿真研究中,我们证明了该方法比预处理和后处理方法更精确。此外,通过两次标准重构,可以同时获得虚拟单色衰减、电子密度、原子序数和基材密度,从而提高了该方法的计算效率和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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