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: University of Manchester
• 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
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FP02226X%2F1
• 关键词: Reconstruction; Toolkit; Multichannel; CT

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.

目前，传统的计算机断层扫描（CT）成像仍处于黑白（1频道）时代，就像1895年捕获的第一个图像朗根一样！常规的X射线成像需要多色X射线源（即具有全能量），但具有能量式的Indisscriminate检测器（注册单个灰度尺度的通道）。但是，能量敏感探测器的技术突破使“颜色”（多个频道）的层析成像新时代（多个通道）。能量选择器的每个像素都记录了由数百或数千个能量通道组成的光谱。当前可用的软件仅允许我们独立地重建每个（嘈杂）的通道，这是一个重要的限制。我们需要解锁多通道断层扫描的下一代相关重建方法的功能。值得注意的是，注册的能量通道是相互关联的，就像颜色图像的红绿蓝色（RGB）通道一样。因此，除了从根本上是新的机会，例如光谱成像，即直接分解基础元素，噪声和其他光谱测量中的噪声和其他不准确性可以在整体上进行整体处理，从而导致成像质量（较高的信噪比和分辨率）的大量改善。该CCP软件旗舰项目的总体目标是扩展现有的单渠道图像重建软件（已由CCPI项目开发），以启用复杂的多通道相关重建方法。将开发用于多通道CT（RT-MCT）的新型重建工具包（RT-MCT），并成为最终用户数据管道SAFU（一个基于模块化Python的平台，用于在英国Harwell的Diamond Light Source（DLS）开发的模块化层析成像平台）。三个主要的成像设施是主要的合作者，并致力于RT-MCT的初始用户：1）曼彻斯特X射线成像设施（MXIF）是基于实验室的X射线CT成像的领导者，并开发了独特的多渠道仪器“ The Color Bay”（锥形光束几何扫描仪）（使用HEXITEC超光谱中心检测器）； 2）在ISIS脉冲中子散布源（Harwell）的新的国家中子成像和衍射设施（IMAT）。 IMAT将利用中子飞行时间（TOF）测量技术，以有效地辨别到数千个渠道，从而使这种独特的技术超光谱。 3）钻石光源（DLS）是Harwell的国家同步设施，具有许多成像光束线，包括I18和I14，专用于X射线荧光，X射线频谱和衍射，所有这些都需要多型多渠道数据集。主要目的是为这些功能提供更多的功能，以提供更多的功能，以提供更多的功能。确定了构成RT-MCT的几个工作包，即a）多通道成像的准确数学建模； b）最佳重建问题的表述； c）在现有软件框架中有效的算法实现和集成； d）部署到设施并用于概念验证案例研究。

项目成果

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
• 作者: Coban S

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.

Charting the course towards dimensional measurement traceability by x-ray computed tomography

• DOI: 10.1088/1361-6501/abf058
• 发表时间: 2021-09-01
• 期刊: MEASUREMENT SCIENCE AND TECHNOLOGY
• 影响因子: 2.4
• 作者: Ferrucci, Massimiliano;Ametova, Evelina
• 通讯作者: Ametova, Evelina

Monte Carlo reconstruction: a concept for propagating uncertainty in computed tomography

蒙特卡洛重建：计算机断层扫描中传播不确定性的概念

• DOI: 10.1088/1361-6501/ac07db
• 发表时间: 2021
• 期刊: Measurement Science and Technology
• 影响因子: 2.4
• 作者: Ferrucci M