Inverse Problems for Magnetic Induction Tomography
Lead Research Organisation:
Cardiff University
Department Name: Computer Science
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
Publications
Alberti G
(2019)
Essential Spectrum for Maxwell's Equations
in Annales Henri Poincaré
Alosaimi M
(2020)
Identification of the forcing term in hyperbolic equations
in International Journal of Computer Mathematics
Barceló J
(2016)
Numerical approximation of the potential in the two-dimesional inverse scattering problem
in Inverse Problems
Brown B
(2017)
Gap localization of TE-modes by arbitrarily weak defects
in Journal of the London Mathematical Society
Brown B
(2016)
Uniqueness for an inverse problem in electromagnetism with partial data
in Journal of Differential Equations
Brown B
(2018)
Compressed Resolvents and Reduction of Spectral Problems on Star Graphs
in Complex Analysis and Operator Theory
Brown B
(2020)
Gap localization of multiple TE-Modes by arbitrarily weak defects
in Journal of the London Mathematical Society
Hamilton S
(2016)
A Hybrid Segmentation and D-Bar Method for Electrical Impedance Tomography
in SIAM Journal on Imaging Sciences
Walker D
(2019)
Accelerating magnetic induction tomography-based imaging through heterogeneous parallel computing
in Concurrency and Computation: Practice and Experience
| Description | it now clear that the performace of the numerical algorithm can be improved by the use of GPU's but further work was needed to properly assess the spedup in the algorithm There are more than source of essential spectrum |
| Exploitation Route | make low cost MRI a reality Further investigation of the essential spectrum |
| Sectors | Aerospace, Defence and Marine,Healthcare |
| Description | The award was motivated by the idea of a cheap "MRi" imaging device. During the period of the award work was done to develop the algorithm and proof of concept. Further work on this was needed on the GPU performance data. An application to EPSRC was made to fund this but we were not successful. In addition the clinitian from Swansea who had been advising on the project left and without his involvement a clinicaly based aplication was not judged viable |
| Sector | Education |
| Impact Types | Economic,Policy & public services |