Mairhofer Stefan, Sturrock Craig, Wells Darren M, Bennett Malcolm J, Mooney Sacha J, Pridmore Tony P
Centre for Plant Integrative Biology, University of Nottingham, Nottingham LE12 5RD, UK.
Funct Plant Biol. 2015 May;42(5):460-470. doi: 10.1071/FP14071.
X-ray microcomputed tomography (μCT) allows nondestructive visualisation of plant root systems within their soil environment and thus offers an alternative to the commonly used destructive methodologies for the examination of plant roots and their interaction with the surrounding soil. Various methods for the recovery of root system information from X-ray computed tomography (CT) image data have been presented in the literature. Detailed, ideally quantitative, evaluation is essential, in order to determine the accuracy and limitations of the proposed methods, and to allow potential users to make informed choices among them. This, however, is a complicated task. Three-dimensional ground truth data are expensive to produce and the complexity of X-ray CT data means that manually generated ground truth may not be definitive. Similarly, artificially generated data are not entirely representative of real samples. The aims of this work are to raise awareness of the evaluation problem and to propose experimental approaches that allow the performance of root extraction methods to be assessed, ultimately improving the techniques available. To illustrate the issues, tests are conducted using both artificially generated images and real data samples.
X射线微计算机断层扫描(μCT)能够在土壤环境中对植物根系进行无损可视化,因此为常用的用于检查植物根系及其与周围土壤相互作用的破坏性方法提供了一种替代方案。文献中已经提出了各种从X射线计算机断层扫描(CT)图像数据中恢复根系信息的方法。为了确定所提出方法的准确性和局限性,并让潜在用户在它们之间做出明智的选择,进行详细的、理想情况下是定量的评估至关重要。然而,这是一项复杂的任务。三维地面真值数据的生成成本高昂,而且X射线CT数据的复杂性意味着手动生成的地面真值可能并不确定。同样,人工生成的数据也不能完全代表真实样本。这项工作的目的是提高对评估问题的认识,并提出能够评估根系提取方法性能的实验方法,最终改进现有的技术。为了说明这些问题,使用人工生成的图像和真实数据样本进行了测试。