GLOBAL- Manchester Image Reconstruction and ANalysis (MIRAN): Step jumps in imaging by Global Exchange of user pull and method push
Lead Research Organisation:
University of Manchester
Department Name: Mathematics
Abstract
By "reconstructive imaging" we mean methods of making two, or three, dimensional images of the inside of objects from measurements taken on the outside. Common examples include the scanners (x-ray, MRI and ultrasound) familiar in hospitals. In such systems an image is not formed directly as in a camera but is calculated by a computer from the data the machine measures, and this involves solving what in mathematics is called an "inverse problem" - working backwards from the data to the image. The mathematics and the computer science behind solving inverse problems are complex and challenging.
The same mathematical problems that arise in medical imaging arise in geophysical imaging, used for example in searching for oil or an archaeological survey, in studying the behaviour of new materials, for example to make aircraft turbine blades, in the detection of landmines and unexploded bombs, and in monitoring flows, mixtures and flames in industrial processes.
In this project we will bring together scientists, mathematicians and engineers who work on a wide range of reconstructive imaging problems, so that the insights gained from one problem can be applied to another and better ways to solve these problems will emerge from working together on aspects the problems have in common.
The same mathematical problems that arise in medical imaging arise in geophysical imaging, used for example in searching for oil or an archaeological survey, in studying the behaviour of new materials, for example to make aircraft turbine blades, in the detection of landmines and unexploded bombs, and in monitoring flows, mixtures and flames in industrial processes.
In this project we will bring together scientists, mathematicians and engineers who work on a wide range of reconstructive imaging problems, so that the insights gained from one problem can be applied to another and better ways to solve these problems will emerge from working together on aspects the problems have in common.
Planned Impact
Patients, especially those suffering from cancer and diseases of ageing and those in intensive care on ventilator machines, will benefit from improved medical imaging techniques that will give better diagnosis and treatment.
Current world population will benefit from improved drought tolerant crops increasing the food supply and from more efficient and cleaner extraction of fossil fuels will benefit. The current and future population will benefit from improved pollution monitoring and carbon sequestration.
Consumers will benefit from improved (stronger, lighter, cheaper, lower energy cost) materials.
UK citizens will benefit from an increase in jobs and productivity of the economy as a result of growth in technologically based companies exploiting developments in imaging.
Current world population will benefit from improved drought tolerant crops increasing the food supply and from more efficient and cleaner extraction of fossil fuels will benefit. The current and future population will benefit from improved pollution monitoring and carbon sequestration.
Consumers will benefit from improved (stronger, lighter, cheaper, lower energy cost) materials.
UK citizens will benefit from an increase in jobs and productivity of the economy as a result of growth in technologically based companies exploiting developments in imaging.
Organisations
Publications
Watson F
(2021)
A polarization tensor approximation for the Hessian in iterative solvers for non-linear inverse problems
in Inverse Problems in Science and Engineering
Viroulet S
(2019)
Shedding dynamics and mass exchange by dry granular waves flowing over erodible beds
in Earth and Planetary Science Letters
Viroulet S
(2018)
The kinematics of bidisperse granular roll waves
in Journal of Fluid Mechanics
Viroulet S
(2017)
Multiple solutions for granular flow over a smooth two-dimensional bump
in Journal of Fluid Mechanics
Van Der Vaart K
(2015)
Underlying Asymmetry within Particle Size Segregation.
in Physical review letters
Van Der Vaart K
(2018)
Breaking size-segregation waves and mobility feedback in dense granular avalanches
in Granular Matter
Trewhela T
(2021)
Large particle segregation in two-dimensional sheared granular flows
in Physical Review Fluids
Trewhela T
(2021)
An experimental scaling law for particle-size segregation in dense granular flows
in Journal of Fluid Mechanics
Tregaskis C
(2021)
Subcritical and supercritical granular flow around an obstacle on a rough inclined plane
in Journal of Fluid Mechanics
Tovey R
(2021)
Scanning electron diffraction tomography of strain
in Inverse Problems
Schaeffer D
(2019)
Constitutive relations for compressible granular flow in the inertial regime
in Journal of Fluid Mechanics
Russell A
(2019)
Retrogressive failure of a static granular layer on an inclined plane
in Journal of Fluid Mechanics
Rocha F
(2019)
Self-channelisation and levee formation in monodisperse granular flows
in Journal of Fluid Mechanics
Razis D
(2014)
Arrested coarsening of granular roll waves
in Physics of Fluids
Mahlein AK
(2015)
Supplemental blue LED lighting array to improve the signal quality in hyperspectral imaging of plants.
in Sensors (Basel, Switzerland)
Lionheart W
(2015)
Diffraction tomography of strain
in Inverse Problems
Lionheart W
(2018)
Histogram Tomography
Ledger P
(2016)
Understanding the magnetic polarizability tensor
in IEEE Transactions on Magnetics
Ledger P
(2015)
Understanding the Magnetic Polarizability Tensor
Ledger P
(2015)
The perturbation of electromagnetic fields at distances that are large compared with the object's size
in IMA Journal of Applied Mathematics
Khairuddin TK
(2016)
Characterization of objects by electrosensing fish based on the first order polarization tensor.
in Bioinspiration & biomimetics
Gray J
(2015)
Particle-size and -density segregation in granular free-surface flows
in Journal of Fluid Mechanics
Gray J
(2014)
A depth-averaged -rheology for shallow granular free-surface flows
in Journal of Fluid Mechanics
Gray J
(2015)
Particle-size segregation in dense granular avalanches
in Comptes Rendus. Physique
Gajjar P
(2021)
Size segregation of irregular granular materials captured by time-resolved 3D imaging.
in Scientific reports
Description | * New tomographic methods in materials science * New methods for infra red optical tomography * Improvements in lung monitoring |
Exploitation Route | The MIRAN project resulted in many new collaborations between Manchester and academics world wide producing new grant proposals and papers. The new FABW land mine centre in Manchester with its network of collaborators is a good example |
Sectors | Aerospace Defence and Marine Energy Healthcare Manufacturing including Industrial Biotechology Security and Diplomacy Transport |
Description | This Global engagement produced a wide range of impacts of furtehr collaboration and research. For example we had a meeting on land mine detection that has lead to advances in metal detectors and ground penetrating radar, prototype devices are being field trialled in Croatia. A network was established of researchers using Near infra red optical tomography and they have developed techniques for monitoring combustion in power stations. A meeting of lung doctors with mathematicians resulted in new ways to monitor respiratory intensive care. As result of this meeting the MIRAN software project http://ne-scientific.com/miran/ was begun and was further developed in our R3M project. It is able to segment 3D images of the human chest and provide a mesh for finite element modelling, specifically for Electrical Impedance Tomography in Respiratory monitoring. |
First Year Of Impact | 2015 |
Sector | Aerospace, Defence and Marine,Energy,Healthcare,Security and Diplomacy,Transport |
Impact Types | Societal Economic |
Description | Reducing the Threat to Public Safety: Improved metallic object characterisation, location and detection |
Amount | £255,622 (GBP) |
Funding ID | EP/R002177/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 01/2018 |
End | 12/2020 |