The estimation of the pixel-wise distribution of the moisture content (MC) in wood using X-ray computed tomography (CT) requires two scans of the same wood specimen at different MCs, one of which is known. Image-processing algorithms are needed to compensate for the anisotropic distortion that wood undergoes as it dries. An alternative technique based on dual-energy CT (DECT) to determine MC in wood has been suggested by several authors. The purpose of the present study was to evaluate the hypothesis that DECT can be used for the determination of MC in real time. A method based on the use of the quotient between the linear attenuation coefficients (μ) at different acceleration voltages (the so-called quotient method) was used. A statistical model was created to estimate the MC in solid sapwood of Scots pine, Norway spruce and brittle willow. The results show a regression model with R² > 0.97 that can predict the MC in these species with a RMSE of prediction of 0.07, 0.04 and 0.11 (MC in decimal format) respectively and at MC levels ranging from the green to the totally dry condition. Individual measurements of MC show an uncertainty of up to ±0.4. It is concluded that under the conditions prevailing in this study, and in studies referred to in this paper, it is not possible to measure MC with DECT.

使用X射线计算机断层扫描（CT）估算木材中水分（MC）的像素级分布需要对同一木材标本进行两次扫描，扫描点不同，其中之一是已知的。需要图像处理算法来补偿木材干燥时所经历的各向异性变形。几位作者提出了另一种基于双能CT（DECT）来确定木材中MC的技术。本研究的目的是评估DECT可用于实时测定MC的假设。一种基于线性衰减系数（μ）在不同的加速电压下使用（所谓的商法）。建立了一个统计模型来估计苏格兰松木，挪威云杉和脆柳中边材的MC。结果显示，R ²  > 0.97的回归模型可以预测这些物种的MC，RMSE预测分别为0.07、0.04和0.11（十进制格式的MC），并且MC水平范围从绿色到完全干燥。MC的单独测量显示不确定度高达±0.4。结论是，在本研究和本文引用的研究中普遍存在的条件下，不可能用DECT测量MC。