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A Reconstruction Toolkit for Multichannel CT

A Reconstruction Toolkit for Multichannel CT
多通道 CT 重建工具包
批准号:
EP/P02226X/1
负责人:
Philip Withers
金额:
$64.43万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
Currently, conventional Computed Tomographic (CT) imaging is still in a black and white (1 channel) era, just as it was with the first image Rontgen captured in 1895! Conventional X-ray imaging entails a polychromatic X-ray source (i.e. with a full spectrum of energies) but with energy-indiscriminate detectors (registering a single grey-scale channel). However, technological breakthroughs in energy-sensitive detectors enable a new era of tomographic imaging in 'colours' (multiple channels). Each pixel of the energy-selective detector records a spectrum consisting of hundreds or thousands of energy channels. Currently available software only allows us to reconstruct each (noisy) channel independently in turn, which is a significant limitation. We need to unlock the power of next-generation correlative reconstruction methods for multi-channel tomography. Notably, the registered energy channels are mutually correlated, just like the red-green-blue (RGB) channels of the color image. Therefore, noise and other inaccuracies in spectral measurements can be treated holistically across the channels, leading to massive improvements in imaging quality (higher signal-to-noise ratio and resolution) in addition to fundamentally new opportunities such as spectroscopic imaging, i.e., direct decomposition into fundamental elements. The overall goal of this CCP Software Flagship project is to expand upon existing single-channel image reconstruction software (already developed by the CCPi project) to enable sophisticated multi-channel correlative reconstruction methods. A novel Reconstruction Toolkit for Multichannel CT (RT-MCT) will be developed and become a part of the end-user data pipeline Savu (a modular Python-based platform for tomographic data processing developed at Diamond Light Source (DLS) at Harwell, UK). Three major imaging facilities are key collaborators and committed initial users of the RT-MCT: 1) Manchester X-ray Imaging Facility (MXIF) is a leader of laboratory-based X-ray CT imaging and has developed the unique multi-channel instrument "The Colour Bay" (cone-beam geometry scanner which uses HEXITEC hyper-spectral detectors); 2) A new national Neutron Imaging and Diffraction Facility (IMAT) at the ISIS pulsed neutron spallation source (Harwell). IMAT will take advantage of the neutron time-of-flight (TOF) measurement technique for effective energy discrimination into thousands of channels making this unique technique hyper-spectral; 3) Diamond Light Source (DLS), the national synchrotron facility at Harwell, has a number of imaging beamlines including I18 and I14, dedicated to X-ray fluorescence, X-ray spectroscopy and diffraction, all of which entail multi-channel data sets.The main aim is to deliver the RT-MCT to these facilities to provide much more efficient data reconstruction and analysis. Several work packages are identified which constitute the RT-MCT, namely a) accurate mathematical modelling of multi-channel imaging; b) formulation of optimal reconstruction problems; c) efficient algorithm implementation and integration in existing software framework; d) deployment to facilities and use in proof-of-concept case studies.
期刊论文(10)
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会议论文
Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data
分析任意不完整 X 射线 CT 数据的重建伪影
DOI: 10.1137/18m1166833
发表时间: 2018
期刊: SIAM Journal on Imaging Sciences
影响因子: 2.1
作者: [Borg, Leise, Frikel, Jürgen, Jørgensen, Jakob Sauer, Quinto, Eric Todd]
通讯作者: Quinto, Eric Todd
Nonlinear problems in fast tomography
快速断层扫描中的非线性问题
DOI: 10.1117/12.2275194
发表时间: 2017
期刊:
影响因子: --
作者: [Coban S]
通讯作者: Coban S
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.
DOI: 10.1088/1361-6501/aafcae
发表时间: 2019-03-01
期刊: MEASUREMENT SCIENCE AND TECHNOLOGY
影响因子: 2.4
作者: [Fisher, S. L., Holmes, D. J., Withers, P. J.]
通讯作者: Withers, P. J.
6
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    • 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:
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