A Reconstruction Toolkit for Multichannel CT
Lead Research Organisation:
University of Manchester
Department Name: Materials
Abstract
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.
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.
Planned Impact
Societal: This research will focus on improving spectral imaging through reconstruction software development which will revolutionise materials science analysis. The proposed project will ensure closer collaborations with other CCPs; especially the CCP PET/MR (hybrid imaging) and CCP-EM (electron microscopy) groups. At present X-ray Computed Tomography is used for innovative non-destructive inspection, analysis of new materials, and threat detection in airport security screening. Multichannel imaging will provide a sea-change in research capability providing faster and more accurate image analysis with chemical mapping overlay generated in parallel. The full potential of multispectral imaging can only be realised through the development of a software toolkit for end users, the RT-MCT. With accurate image analysis provided by the RT-MCT industrial connections have already led to new funded projects with coders from the University of Manchester (MXIF) accessing raw and metadata outputs and reconstruction expertise, for example writing code for Nikon X-ray scanner. Industrial impact will be enhanced through continual collaborations with members of the CCP network and Working Group: in collaboration with industrial network members. The following industrial companies and national organisations are active members of the CCP network and on the Working Group; Nikon Metrology, FEI, LaVision, Zeiss, Bruker, Deben, Rapiscan, Simpleware, Tessella and the BSI Group.
Economic: Industrial X-ray Inspection is worth in excess of $450M worldwide and emerging applications are driving new demand for CT inspection. We will maximise the impact to industry by: 1) extending our current collaborations with the equipment manufacturers Nikon Metrology, FEI, LaVision, Zeiss, Bruker, Deben, Rapiscan, Simpleware, Tessella and the BSI Group. We will focus on developing both the software, ensuring we are at the forefront of new technology. 2) The University will utilise its network of commercial partners as pathways to industrial impact, specifically in the oil & gas, nuclear and aerospace sectors through dedicated research institutes: BP International Centre for Advanced Materials (BP-ICAM), Dalton Nuclear Institute, Aerospace Research Institute. 3) Collaborate with the SME Spectral-X, established in early 2014 to commercialise colour CT imaging, to capture value from truly "game-changing'' developments.
Scientific: The outputs from this Flagship will assist some of the major national facilities (ISIS and DLS) and lab-based systems ensuring that the UK is at the forefront of developments in this new analytical capability. It will also utilise related infrastructures including compute clusters within STFC and in the regions (N8, Archer and Hartree Centre). Diamond Light Source (DLS) scientists and the hundreds of academic and industrial beamline users annually will greatly benefit from the RT-MCT methods and software applied to their experimental data produced on energy-dispersive X-ray spectroscopy and diffraction (I18, I14) beamlines. IMAT ISIS neutron facility will accommodate the Savu-packaged RT-MCT for all future users. MXIF where laboratory based colour imaging was pioneered and the RT-MCT will substantially reduce the amount of time required to process data, increasing the research capability of the instrument.
People: The retention and development skilled people able to work in multidisciplinary teams is not only essential to the future of the CCPi but also to develop the leaders of tomorrow. We will provide the postdoctoral researchers with opportunities to acquire and improve upon a wide range of technical and transferable skills, which will be of value both during this project, and in their subsequent careers. The PDRAs will benefit from working in a multidisciplinary research environment and we place a high priority on training our researchers in communication and engagement with end users of our research.
Economic: Industrial X-ray Inspection is worth in excess of $450M worldwide and emerging applications are driving new demand for CT inspection. We will maximise the impact to industry by: 1) extending our current collaborations with the equipment manufacturers Nikon Metrology, FEI, LaVision, Zeiss, Bruker, Deben, Rapiscan, Simpleware, Tessella and the BSI Group. We will focus on developing both the software, ensuring we are at the forefront of new technology. 2) The University will utilise its network of commercial partners as pathways to industrial impact, specifically in the oil & gas, nuclear and aerospace sectors through dedicated research institutes: BP International Centre for Advanced Materials (BP-ICAM), Dalton Nuclear Institute, Aerospace Research Institute. 3) Collaborate with the SME Spectral-X, established in early 2014 to commercialise colour CT imaging, to capture value from truly "game-changing'' developments.
Scientific: The outputs from this Flagship will assist some of the major national facilities (ISIS and DLS) and lab-based systems ensuring that the UK is at the forefront of developments in this new analytical capability. It will also utilise related infrastructures including compute clusters within STFC and in the regions (N8, Archer and Hartree Centre). Diamond Light Source (DLS) scientists and the hundreds of academic and industrial beamline users annually will greatly benefit from the RT-MCT methods and software applied to their experimental data produced on energy-dispersive X-ray spectroscopy and diffraction (I18, I14) beamlines. IMAT ISIS neutron facility will accommodate the Savu-packaged RT-MCT for all future users. MXIF where laboratory based colour imaging was pioneered and the RT-MCT will substantially reduce the amount of time required to process data, increasing the research capability of the instrument.
People: The retention and development skilled people able to work in multidisciplinary teams is not only essential to the future of the CCPi but also to develop the leaders of tomorrow. We will provide the postdoctoral researchers with opportunities to acquire and improve upon a wide range of technical and transferable skills, which will be of value both during this project, and in their subsequent careers. The PDRAs will benefit from working in a multidisciplinary research environment and we place a high priority on training our researchers in communication and engagement with end users of our research.
Publications
Papoutsellis E
(2021)
Core Imaging Library - Part II: multichannel reconstruction for dynamic and spectral tomography.
in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Tovey R
(2021)
Scanning electron diffraction tomography of strain
in Inverse Problems
Tsoumpas C
(2021)
Synergistic tomographic image reconstruction: part 1.
in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Tsoumpas C
(2021)
Synergistic tomographic image reconstruction: part 2.
in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Warr R
(2022)
Quantifying multiple stain distributions in bioimaging by hyperspectral X-ray tomography.
in Scientific reports
Warr R
(2021)
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction.
in Scientific reports
Description | Until recently, X-ray CT has been undertaken in black and white, providing simply a black and white 3-D image of the attenuation through the object. Hyper-spectral or colour imaging records a full profile at each pixel. In most cases, these were reconstructed individually, which because of the poor signal gave many low quality 3-D images. In this work we have developed reconstruction codes capable of reconstructing colour 3-D images. We have expanded the Core Imaging Library to handle different tasks such as such as de-noising, de-blurring, in-painting (i.e. filling in blank spaces) and tomography reconstruction. In addition, tools have been developed to process extremely large amounts of data received from a scanner; they speed up reconstruction of the final image by slicing the data into very small chunks. There are also pre-processing tools capable of preventing unwanted artefacts appearing in the final image. |
Exploitation Route | Currently the software has been installed on the IMAT beamline at the ISIS national Neutron facility for colour time of flight imaging and will be used to enable colour X-ray CT imaging within the National Research Facility for lab X-ray CT, which became operational in November 2020. The development team have also enabled certain features from the CIL to be incorporated in the Synergistic Image Reconstruction Framework (SIRF) from the Collaborative Computational Project in Synergistic Reconstruction for Biomedical Imaging (CCP SyneRBI), suitable for PET and MRI reconstruction. The work funded by this grant has been further developed and exploited by a number of other researchers. Dr. Evangelos Papoutsellis was a finalist in the CoSeC Impact Award in 2020 for his work on the Core Imaging Library, while Ryan Warr, a PhD student at the University of Manchester, won the award the following year for his work developing Spectral X-ray Computed Tomography imaging techniques. Dr Tim Burnett has been awarded funding with ARTC and SIMTech in Singapore to investigate the potential of machine learning to exploit the use of hyperspectral X-ray CT. Finally, we are in the process of preparing an ERC advanced grant to exploit colour imaging. |
Sectors | Aerospace, Defence and Marine,Energy,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology,Transport |
URL | http://www.ccpi.ac.uk/cil |
Description | This has contributed to a £2m innovate/industry project to develop colour imaging for medical applications. It has also led to software that is now being used by IMAT neutron beamline at ISIS to enable their users to interpret Bragg edge signals. Furthermore, it is going to drive software for the new colour x-ray instrument which is being established with NXCT for the UK user community. This has led to a collaboration with Adaptix (SME) resulting in a £1.6m innovate grant application to develop colour tomosynthesis. |
First Year Of Impact | 2017 |
Sector | Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Energy,Healthcare,Manufacturing, including Industrial Biotechology,Culture, Heritage, Museums and Collections,Pharmaceuticals and Medical Biotechnology |
Impact Types | Economic |
Description | EPSRC XCT Equipment Roadmap Panel |
Geographic Reach | National |
Policy Influence Type | Membership of a guideline committee |
Description | Reader for BSI/ISO standard XCT TDF/4/4/1 |
Geographic Reach | National |
Policy Influence Type | Membership of a guideline committee |
Description | Alan Turing Institute: Summer School Application (Large Data Image Reconstruction and Visualisation) |
Amount | £4,500 (GBP) |
Organisation | Alan Turing Institute |
Sector | Academic/University |
Country | United Kingdom |
Start | 05/2020 |
End | 06/2020 |
Description | EPSRC: Multiscale and In Situ Laboratory X-ray Computed Tomography National Research Facility |
Amount | £10,000,000 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 07/2020 |
End | 07/2025 |
Description | EPSRC: Tomographic Imaging: UK Collaborative Computational Projects |
Amount | £296,693 (GBP) |
Funding ID | EP/T026677/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 08/2020 |
End | 03/2025 |
Description | Rich Nonlinear Tomography for advanced materials (LEAD) |
Amount | £635,422 (GBP) |
Funding ID | EP/V007742/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 05/2021 |
End | 05/2024 |
Title | Hyperspectral X-ray CT data set of mineralised ore sample with Au and Pb deposits |
Description | General data description: This is a hyperspectral (energy-resolved) X-ray CT projection data set of a mineralised ore sample with small gold and galena deposits. It was acquired in a laboratory micro-CT scanner with an energy-sensitive HEXITEC detector in the Henry Moseley X-ray Imaging Facility at The University of Manchester. The data included contains all the relevant files required for reconstruction, following a hyperspectral scan of a mineralised ore sample. The sample contains a number of mineral phases, of varying concentration, distributed throughout. Some phases (including gold, and lead-based Galena) produce unique absorption edges, which act as spectral identifiers that can be measured by an energy-sensitive detector. File descriptions: The data set consists of one .txt file and three .mat (MATLAB) data files. Au_rock_scan_geometry.txt gives a breakdown of the full sample and detector geometry used when acquiring the raw projections. The number of horizontal detector pixels accounts for the fact that a set of 5 tiled scans of the sample were collected and later stitched together. Au_rock_sinogram_full.mat contains the full 4D sinogram constructed following flat-field normalisation of the raw projection data. The data matrix contains the total number of energy channels acquired during scanning, as well as the conventional elements of vertical/horizontal detector pixel number and total projection angles. commonX.mat provides a direct conversion between the energy channels, and the energies (in keV) that they correspond to, following a calibration procedure prior to scanning. FF.mat contains the 4D flatfield data acquired when no sample was present. This data was used to normalise the projection datasets, as the sinogram was constructed. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://zenodo.org/record/4157614 |
Title | Neutron tomography data of high-purity metal rods using golden-ratio angular acquisition (IMAT, ISIS) |
Description | This is a neutron tomography projection data set acquired at the IMAT beamline of the ISIS Neutron and Muon Source, Harwell, UK. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | N/A |
URL | https://zenodo.org/record/4273969#.ZA8jsnbP0uV |
Title | Anaconda of the Python software CIL |
Description | Good software development practices have been implemented, including software code project management, version control, issue tracking, and systematic code testing and builds. |
Type Of Technology | Software |
Year Produced | 2018 |
Impact | We have made public releases through Anaconda of the Python software CIL. |
URL | http://cil.readthedocs.io/en/latest/ |
Title | The Core Imaging Library |
Description | CIL is an open-source mainly Python framework for tomographic imaging for cone and parallel beam geometries. It comes with tools for loading, preprocessing, reconstructing and visualising tomographic data. |
Type Of Technology | Webtool/Application |
Year Produced | 2021 |
Open Source License? | Yes |
Impact | This has grown to be used in many institutions across the UK, Europe and the US, many collaborations formed including with the ISIS neutron facility, EPAC laser facility. |
Description | 12th annual Tomography for Scientific Advancement (ToScA) symposium |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Team member gave presentation at virtual conference |
Year(s) Of Engagement Activity | 2021 |
Description | Analysis Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Workshop on digital volume correlation (DVC) analysis, outlining state of the art and applications in materials science. |
Year(s) Of Engagement Activity | 2021 |
Description | CCPi Virtual Seminar Series |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Seminar series over zoom in which researchers and industry discussed how they used the Core Imaging Library. There were over 25 events covering a total of 369 attendees with 45 speakers. |
Year(s) Of Engagement Activity | 2020,2021 |
Description | CCPi Working Group event |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Discussion with SPIERS looking software product range |
Year(s) Of Engagement Activity | 2021 |
Description | CIL @ ToScA UK & Europe 2022, Queen Mary University London, 7 - 9 September |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | We present the Core Imaging Library (CIL) - a versatile open-source Python package for tomographic imaging reconstruction and analysis. CIL can be used for the entire tomography data workflow from loading common lab and synchrotron X-ray CT data formats, pre-processing for various imperfections, reconstruction by filtered back-projection or a variety of iterative methods as well as data visualisation and exploration. CIL offers tools for conventional as well as challenging setups including in-situ experiments with imaging rigs, fast dynamic CT, hyper-spectral CT, and non-standard scan geometries such as laminography. In this talk, we give an overview of the functionality provided by CIL and provide multiple application examples, including comparisons of filtered back-projection reconstruction with emerging iterative reconstruction methods. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.ccpi.ac.uk/CIL |
Description | CIL Training @ ToScA UK 2021 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Hands-on training for the Core Imaging Library (CIL), an open-source reconstruction platform for challenging and novel data. |
Year(s) Of Engagement Activity | 2021 |
Description | CIL Training Course @ IBSim 18 October 2022 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Session 1: Introduction to XCT and the CIL framework for reconstruction of commercial lab-based XCT data with FBP/FDK Session 2: Pre-processing of XCT data, e.g. centre of rotation correction Session 3: Iterative reconstruction methods for standard XCT data Session 4 (choose one of): Reconstruction of data simulated from gVXR Advanced iterative reconstruction with spectral XCT data Advanced iterative reconstruction on laminography XCT data |
Year(s) Of Engagement Activity | 2022 |
URL | https://ibsim.co.uk/events/ibsim-4i/registration/ |
Description | CT image based modelling of composite materials' failure |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | An invited lecture to an international conference. |
Year(s) Of Engagement Activity | 2022 |
Description | Dataset training |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | A training course was held over two days at Harwell Campus to help users with the Visualisation & quantification of tomographic datasets |
Year(s) Of Engagement Activity | 2021 |
Description | Digital Volume Correlation. Training on iDVC |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Digital volume correlation (DVC) is used in material science to quantify the internal displacements and strain fields from in situ tomography experiments. This workshop will cover the theory of in situ tomography experiments and DVC analysis, followed by a practical session using the Collaborative Computational Project in Tomographic Imaging (CCPi) iDVC app. |
Year(s) Of Engagement Activity | 2022 |
Description | Expanding 3D Nondestructive X-ray Microscopy Through Laboratory Diffraction Contrast Tomography (LabDCT) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | An introductory webinar to LabDCT is and how it works. It was aimed at materials scientists, engineers, and researchers working in either the academic or industrial environments interested in understanding the microstructural and crystallographic information of (single/poly)-crystalline samples. |
Year(s) Of Engagement Activity | 2020 |
Description | Fully3D Training School for the Synergistic Image Reconstruction Framework (SIRF) and Core Imaging Library (CIL) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | This was an online training course for the image reconstruction, optimisation and regularisation software packages: Synergistic Image Reconstruction Framework (SIRF) and the Core Imaging Library (CIL). |
Year(s) Of Engagement Activity | 2021 |
Description | Hackathon |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | A hackathon took place at STFC to develop an algorithms benchmark for tomographic image reconstruction |
Year(s) Of Engagement Activity | 2021 |
Description | IBSim-4i (Image-Based Simulation for Industry) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Team member gave presentation at virtual conference |
Year(s) Of Engagement Activity | 2020 |
URL | https://ibfem.co.uk/events/ |
Description | Lunch-and-learn virtual seminar series |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | A series of weekly virtual seminars with invited speakers. |
Year(s) Of Engagement Activity | 2020,2021 |
Description | Network t-conf meetings |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other audiences |
Results and Impact | Network t-conf meetings occur continually, with updated website, and regular newsletters, comprises talks and training events. The size of our community has risen from ~250 in 2013 to over 400 by the end of 2018; over 60% growth. |
Year(s) Of Engagement Activity | 2013,2014,2015,2016,2017,2018 |
Description | Online Training - Introduction to the Core Imaging Library (CIL) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | This short training course will introduce you to using CIL for pre-processing and reconstruction of tomographic data. You will be introduced to iterative reconstruction algorithms and compare these with the typical FBP/FDK reconstructions. The course will be held remotely. The training material will be provided for you through the STFC cloud which you will access through a browser. |
Year(s) Of Engagement Activity | 2022 |
Description | Online Training - Introduction to the Core Imaging Library (CIL) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | This short training course will introduce you to using CIL for pre-processing and reconstruction of tomographic data. You will be introduced to iterative reconstruction algorithms and compare these with the typical FBP/FDK reconstructions. The course will be held remotely. The training material will be provided for you through the STFC cloud which you will access through a browser. |
Year(s) Of Engagement Activity | 2021 |
Description | Poster Presentation at STEM for Britain Event (Westminster) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | STEM for BRITAIN exists to raise the profile of Britain's early-stage researchers at Westminster by engaging Members of both Houses of Parliament with current science, engineering and mathematics research being undertaken in the UK, especially that by their local constituents and in their local University. |
Year(s) Of Engagement Activity | 2020 |
Description | Software Training on CCPi Core Imaging Library @ Synergistic Symposium, Chester UK, Nov 2019 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | 45 international researchers from postgraduate to professor level attended a 2-day software training school in a software output from the project, which received stellar feedback and increased uptake of software in the imaging community. |
Year(s) Of Engagement Activity | 2019 |
Description | Talk at IBSim-4i 2021 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Gave a talk on the CIL at IBSim-4i 2021 to promote the resource to a wider audience |
Year(s) Of Engagement Activity | 2021 |
Description | Talk at the CoSeC Annual Conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | A talk was given at the CoSeC annual conference entitled "The CCPi core imaging library, a versatile software for tomographic imaging", which helped to raise the profile of the resource. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.scd.stfc.ac.uk/Pages/CIUK-2021-Breakout-Sessions.aspx |
Description | Training Course |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | Avizo Course at University of Manchester designed to guide beginners on how to use the programme. |
Year(s) Of Engagement Activity | 2021 |
Description | Training Course at Conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Three week training course prior to the 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. The course covered image reconstruction for PET, MRI and x-ray CT, emphasising commonalities but allowing participants to concentrate on topics that fit their interest. |
Year(s) Of Engagement Activity | 2021 |
Description | Training at conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | Training day on reconstruction toolbox which increased understanding of software. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.npl.co.uk/research/dimensional/dxct-conference/dxct-conference-2021 |
Description | Training school at PSMR2022 - Total body PET workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Workshop and training session for CIL |
Year(s) Of Engagement Activity | 2022 |
Description | Training session at conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Provided two 3hr hands-on CIL training sessions at the 2021 ToScA Europe conference, which led to an increased understanding of how to use the software |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.toscainternational.org |