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A method of 3D nondestructive detection for plant root in situ based on CBCT imaging

机译:基于CBCT成像的植物根部3D无损检测方法

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Root is an important organ for plant to uptake nutrient and water from the surrounding soil. And the capability of plant to obtain nutrient and water is closely relevant to its root distribution and architecture under ground. Soil is the source of water and nutrients for plant; however, it also obstructs the observation and measurement of the root system. A thorough investigation of root morphology and biology for plant root systems requires advanced observation and measurement methods to characterize the root architecture in situ. In this study, a three-dimensional (3-D) visualization and nondestructive detection technique using X-ray computed tomography (CT) based on a flat panel detector is presented. An experimental unit was developed to examine the technical feasibility. First, the CT was designed to capture the sectional images of plant roots growing in soil or other media. Second, a series of program processing was conducted for root CT images involving sequential image preprocessing, image segmentation, 3-D reconstruction and visualization, and extraction of root parameters. Finally, the parameters of the 3-D architecture of roots obtained from the computer detection were analyzed to compare them with those from manual measurements. The results show that (1) the reconstructive accuracy of volume approaches 87%, (2) the relative error of structural root length ranges from 3.27 to 10.82% with an average of 7.07%, (3) the relative error of root diameter at branch nodes ranges from 3.00 to 12.18% with an average of 8.06%, (4) the minimum diameter of roots available for detection is 0.2 mm, and (5) the relative error of root branch angle ranges from 3.74 to 21.15% with an average of 10.72%. Moreover, the nondestructive measurement method can be used to determine the structure of plant roots automatically, consecutively and dynamically without shifting or remolding the original form of root system in situ.
机译:根是植物从周围土壤吸收养分和水分的重要器官。植物获得养分和水分的能力与其在地下的根系分布和结构密切相关。土壤是植物的水和养分的来源。但是,它也妨碍了对根系的观察和测量。对植物根系的根系形态和生物学进行彻底研究,需要先进的观察和测量方法来原位表征根系结构。在这项研究中,提出了一种基于平板探测器的X射线计算机断层扫描(CT)的三维(3-D)可视化和无损检测技术。开发了一个实验装置来检查技术可行性。首先,CT旨在捕获在土壤或其他介质中生长的植物根部的断面图像。其次,针对根部CT图像进行了一系列程序处理,包括顺序图像预处理,图像分割,3-D重建和可视化以及根部参数的提取。最后,分析了通过计算机检测获得的根的3-D结构参数,并将其与手动测量的参数进行了比较。结果表明:(1)体积重建精度接近87%,(2)结构根长度的相对误差范围为3.27至10.82%,平均为7.07%,(3)分支根直径的相对误差节点的范围从3.00至12.18%,平均为8.06%,(4)可用于检测的根的最小直径为0.2 mm,(5)根分支角的相对误差范围为3.74至21.15%,平均为10.72%。此外,无损测量方法可用于自动,连续和动态地确定植物根系的结构,而无需在原地转移或重塑根系的原始形式。

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