课题基金 / 基金详情

Tomographic Imaging: UK Collaborative Computational Projects

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:
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
项目状态:
未结题
起止时间:
2020 至 --

项目摘要

项目成果

Philip Withers的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1098/rsta.2020.0192
发表时间: 2021-08-23
期刊: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
影响因子: --
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
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.
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
DOI: --
发表时间: 2021
期刊:
影响因子: --
作者: [Andersen Martin S.]
通讯作者: Andersen Martin S.
DOI: 10.1126/sciadv.abq3925
发表时间: 2022-11-18
期刊: Science advances
影响因子: 13.6
作者: []
通讯作者:
8
    RELIANCE: REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibres, films and composites
    • 批准号:
      EP/X026884/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $67.6万
    • 财政年份:
      2023
    • 负责人:
      Philip Withers
    • 依托单位:
    Manufacturing by Design
    • 批准号:
      EP/W003333/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $205.47万
    • 财政年份:
      2022
    • 负责人:
      Philip Withers
    • 依托单位:
    Henry Royce Institute Core Capital Award
    • 批准号:
      EP/X52850X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $509.68万
    • 财政年份:
      2022
    • 负责人:
      Philip Withers
    • 依托单位:
    Royce Phase 2
    • 批准号:
      EP/X527257/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $12232.32万
    • 财政年份:
      2022
    • 负责人:
      Philip Withers
    • 依托单位:
    国内基金
    海外基金
    非小细胞肺癌Biomarker的Imaging MS研究新方法
    • 批准号:
      30672394
    • 项目类别:
      面上项目
    • 资助金额:
      30.0万元
    • 批准年份:
      2006
    • 负责人:
      陆豪杰
    • 依托单位: