Unlocking the potential of quantitative x-ray micro-tomography

释放定量 X 射线显微断层扫描的潜力

• 批准号: LP150101040
• 负责人: A/Prof Andrew Kingston
• 金额: $ 38.89万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-10-30 至 2018-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP150101040
• 关键词: Unlocking; potential; quantitative; ray; micro

This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised because crucial features in structure and composition are overlooked by simplistic algorithms. Users cannot directly capture quantities of interest such as key compositional variation or defects, and workflows are poorly adapted for large-scale use in industrial fabrication or phenomics. This project aims to address these shortcomings using advanced mathematics and algorithms.

该项目旨在建立数据采集和 3D 图像重建方面的两个新理念，将 3D X 射线显微镜或计算机断层扫描 (CT) 引入高级研究用途以及常见工业应用。在过去 10 年中，CT 提高了我们对从生命进化和骨质疏松症到复合材料失效和石油采收等领域的理解。然而，CT 的全部潜力仍未实现，因为结构和组成的关键特征被简单化的算法忽略了。用户无法直接捕获感兴趣的数量，例如关键成分变化或缺陷，并且工作流程不太适合工业制造或表型组学中的大规模使用。该项目旨在使用高级数学和算法来解决这些缺点。