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

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) 是一种强大的无损评估 (NDE) 技术，可通过一系列 2D 投影生成物体的 2D 横截面和 3D 图像。 CT 过程的关键是一系列计算机算法，这些算法执行一系列相互依赖的任务，从原始数据中提取所需的信息：i) 从初始图像捕获开始进行校正和校准，ii) 从这些 2D 投影重建 3D 图像,iii) 3D 图像中特征的分析和量化，以及 iv) 3D 图像和提取特征的 2D 和 3D 可视化和动画。虽然这些技术正在迅速普及，但大多数用户在尝试时的选择相当有限恢复 3D 图像。他们可以使用 X 射线 CT 仪器制造商提供的黑盒软件工具，或者最多只编写相当原始的计算机程序来从图像中提取关键特征。英国各地的大型、中型和小型 CT 设施投资数百万英镑，但由于方法和软件需求未得到满足，这些投资尚未实现全部回报。此外，数据分析和应用新型计算方法的最佳实践尚未在整个社区中定期共享，这进一步增加了发挥全部潜力的障碍。显然需要改进软件工具来从 CT 数据中提取信息，以及加强 CT 社区之间的协作并提高整个 CT 社区在计算方法和软件方面的技能。CCPi 旨在解决这两个问题。首先，CCPi 寻求提供完全开源的软件，涵盖整个断层扫描成像流程，包括预处理和校准、针对不同形式的挑战性数据的各种重建算法、伪影减少代码和图像分析程序。以 Core Imaging Library (CIL) 名义发布的工具集通过易于使用的标准算法迎合缺乏经验的用户，并为专家用户提供构建定制数据处理管道的完全灵活性。其次，CCPi 致力于通过网络活动、员工交流、培训和研讨会来加强和发展英国 CT 社区。这些活动将继续将数学家、物理学家、工程师、仪器科学家、应用科学研究人员（用户）以及工业和文化遗产团体组成的高度多学科社区联系起来。

项目成果

Anatomically-guided deconvolution of PET using directional total variation regularization

• DOI: 10.1101/2023.04.23.23289004
• 发表时间: 2023-04-26
• 期刊: medRxiv
• 作者: Gillman，Ashley G;Quah，Min Han;Dowling，Jason A
• 通讯作者: Dowling，Jason A

Core Imaging Library - Part I: a versatile Python framework for tomographic imaging.

• DOI: 10.1098/rsta.2020.0192
• 发表时间: 2021-08-23
• 期刊: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
• 作者: Jørgensen JS;Ametova E;Burca G;Fardell G;Papoutsellis E;Pasca E;Thielemans K;Turner M;Warr R;Lionheart WRB;Withers PJ
• 通讯作者: Withers PJ

Crystalline phase discriminating neutron tomography using advanced reconstruction methods

• DOI: 10.1088/1361-6463/ac02f9
• 发表时间: 2021-08-12
• 期刊: JOURNAL OF PHYSICS D-APPLIED PHYSICS
• 影响因子: 3.4
• 作者: Ametova, Evelina;Burca, Genoveva;Withers, Philip J.
• 通讯作者: Withers, Philip J.

The Winchcombe meteorite, a unique and pristine witness from the outer solar system.

• DOI: 10.1126/sciadv.abq3925
• 发表时间: 2022-11-18
• 期刊: Science advances
• 影响因子: 13.6

Computed Tomography: Algorithms, Insight, and Just Enough Theory

计算机断层扫描：算法、洞察力和足够的理论

• 发表时间: 2021
• 作者: Andersen Martin S.