交互式软件ARI3D提升三维CT图像微结构定量分析精度
ARI3D: A Software for Interactive Quantification of Regions in X-Ray CT 3D Images
- 用户交互式操作，分步辅助识别与量化
- 有效缓解局部体积效应，提升检测灵敏度
- 适用于材料、地质等多领域三维定量分析
X射线计算机断层扫描（CT）是表征材料内部微结构的主要三维成像技术。传统定量分析通常对整幅3D图像执行一系列预设步骤，但受束硬化、部分体积效应等成像伪影影响，需依赖用户根据体素灰度值进行分割与分类决策。为此，本文提出交互式软件ARI3D，支持在三维CT图像中分步完成区域分类与定量分析，旨在实现：1）提升相位识别准确性；2）考虑部分体积效应；3）提高物体定量检测的灵敏度与精度；4）推动跨学科三维定量分析的标准化。该工具可广泛应用于材料科学、地质学等领域。
原文摘要 · Abstract (English)
X-ray computed tomography (CT) is the main 3D technique for imaging the internal microstructures of materials. Quantitative analysis of the microstructures is usually achieved by applying a sequence of steps that are implemented to the entire 3D image. This is challenged by various imaging artifacts inherent from the technique, e.g., beam hardening and partial volume. Consequently, the analysis requires users to make a number of decisions to segment and classify the microstructures based on the voxel gray-values. In this context, a software tool, here called ARI3D, is proposed to interactively analyze regions in three-dimensional X-ray CT images, assisting users through the various steps of a protocol designed to classify and quantify objects within regions of a three-dimensional image. ARI3D aims to 1) Improve phase identification; 2) Account for partial volume effect; 3) Increase the detection limit and accuracy of object quantification; and 4) Harmonize quantitative 3D analysis that can be implemented in different fields of science.
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