A method for the reconstruction of 2D tomographic images adapted to wood was presented, aiming to perform a nondestructive evaluation of standing trees. The proposed method takes into account the orthotropy property of wood material, performing an iterative process that approximated the curved rays. A slowness function was defined for every cell and a nonlinear regression allowed the mapping of the inner elastic constants. Four numerical configurations were tested representing real cases usually found in standing tree monitoring. These specific configurations allowed this work to focus on the analysis of the effect of anisotropy on image reconstruction. The reconstructed images using the proposed method were compared with a straight-ray reconstruction method (filtered back projection algorithm), highlighting a more detailed identification and quantification of the inner state of the anisotropic structure of the trunk.

中文翻译：

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在各向异性条件下通过超声计算机断层扫描对树木进行定量参数成像：数值案例研究

提出了一种适用于木材的二维断层图像重建方法，旨在对立木进行无损评估。所提出的方法考虑了木质材料的正交各向异性特性，执行了近似弯曲射线的迭代过程。为每个单元定义了慢度函数，非线性回归允许映射内部弹性常数。测试了四种数值配置，代表通常在立树监测中发现的真实案例。这些特定的配置使这项工作能够专注于分析各向异性对图像重建的影响。使用提出的方法重建的图像与直线重建方法（滤波反投影算法）进行了比较，