Tomographic Imaging: UK Collaborative Computational Projects

断层成像：英国协作计算项目

• 批准号: EP/T026677/1
• 负责人: Philip Withers
• 金额: $ 37.8万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT026677%2F1
• 关键词: Tomographic; Imaging; UK; Collaborative; Computational; Tomographic; Imaging; UK; Collaborative; Computational

Computed Tomography (CT) is a powerful non-destructive evaluation (NDE) technique for producing 2-D cross-sections and 3-D images of an object from a series of 2D projections. Critical to the CT process is a pipeline of computer algorithms carrying out an interdependent sequence of tasks to extract the desired information from the raw data: i) correction and calibration starting from initial image capture, ii) reconstruction of a 3D image from these 2D projections,iii) analysis and quantification of features in the 3D image, andiv) 2D and 3D visualization and animation of the 3D image and extracted features.While the techniques are rapidly growing in popularity, most users have fairly limited options when trying to recover the 3D image. They can either use black-box software tools provided by X-ray CT instrument manufacturers, or at best, write only fairly primitive computer programs to extract key features from the images. Large, mid-range and small CT facilities across the UK represent multi million pound investments of which the full return is not realised due to unmet method and software needs. Furthermore, best practices for data analysis and application of novel computational methods are yet not routinely shared across the community adding further barrier to reaching the full potential. There is a clear need improved software tools for extracting information from CT data, as well as for strengthening collaboration across and upskilling the CT community as a whole in terms of computational methods and software.The CCPi aims to address both of these issues. Firstly, the CCPi seeks to provide fully open-source software covering the full tomographic imaging pipeline including pre-processing and calibration, a variety of reconstruction algorithms for different forms of challenging data, artefact reduction codes, and image analysis procedures. The collection of tools released under the name Core Imaging Library (CIL) caters for inexperienced users by easy-to-use standard algorithms, as well as giving expert users full flexibility to construct bespoke data processing pipelines. Secondly, the CCPi seeks to strengthen and grow the UK CT community through networking activities, staff exchanges, training and seminars. The activities will continue to connect a highly multi-disciplinary community of mathematicians, physicists, engineers, instrument scientists, researchers in the applied sciences (users) as well as industry and cultural heritage groups.

计算机断层扫描（CT）是一种强大的非破坏性评估（NDE）技术，用于从一系列2D投影中生成对象的2-D横截面和3-D图像。 CT过程至关重要的是进行计算机算法的管道，执行了相互依存的任务序列，以从原始数据中提取所需信息：i）从初始图像捕获开始，从初始图像捕获开始，ii）从这些2D预测中重建3D图像，III，iii），III，iii）在3D图像和3D图像中的特征分析和量化3D和3D可视化的特征。在试图恢复3D图像时，大多数用户在受欢迎程度上迅速增长。他们可以使用X射线CT仪器制造商提供的黑盒软件工具，或者最多只能编写相当原始的计算机程序来从图像中提取关键功能。整个英国的大型，中端和小型CT设施代表数百万英镑的投资，由于未满足的方法和软件需求，无法实现全部收益。此外，在整个社区中尚未常规共享数据分析和应用新型计算方法的最佳实践，这增加了发挥全部潜力的进一步障碍。明确的需要改进的软件工具来从CT数据中提取信息，并在整个计算方法和软件方面加强了整个CT社区的协作。CCPI旨在解决这两个问题。首先，CCPI试图提供完全开源软件，涵盖完整的层析成像管道，包括预处理和校准，针对不同形式的具有挑战性的数据，减少工件减少代码以及图像分析程序的各种重建算法。以核心成像库（CIL）名称发布的工具收集通过易于使用的标准算法来满足未经经验的用户，并为专家用户提供了充分的灵活性来构建定制数据处理管道。其次，CCPI试图通过网络活动，员工交流，培训和研讨会来加强和发展英国CT社区。这些活动将继续连接一个高度的数学家，物理学家，工程师，仪器科学家，应用科学研究人员（用户）以及行业和文化遗产群体的多学科社区。