Imaging low-conductivity materials in Magnetic Induction Tomography - LCOMIT
Lead Research Organisation:
Swansea University
Department Name: Institute of Life Science Medical School
Abstract
Magnetic induction tomography (MIT) is a technique for imaging the electrical conductivity in a cross-section of an object. MIT applies a magnetic field from a current-carrying coil to induce eddy currents in the object which are then sensed by an array of other coils. From these signals, an image of conductivity is reconstructed. This proposal brings together two of the world's leading groups in MIT, from Manchester and South Wales, with a programme designed to address the fundamental theoretical and practical problems of making MIT operate reliably with low-conductivity materials (< 10 S/m). The success of this research could produce a major step forward in the application of MIT, with new opportunities in imaging biological tissues and industrial processes. Three specific application areas will be researched: one biomedical, for imaging acute cerebral stroke, one in glass production, for monitoring process parameters to ensure product quality, and one in the oil industry for imaging the process water in an oil/gas pipeline.
Organisations
- Swansea University (Lead Research Organisation)
- University College London (Project Partner)
- Pilkington Technology (Project Partner)
- Polytec Research (Norway) (Project Partner)
- Philips (Germany) (Project Partner)
- Swansea Bay University Health Board (Project Partner)
- NIS (United Kingdom) (Project Partner)
People |
ORCID iD |
Huw Griffiths (Principal Investigator) |
Publications
Griffiths H
(2007)
Residual capacitive coupling and the measurement of permittivity in magnetic induction tomography.
in Physiological measurement
Zolgharni M
(2009)
Imaging cerebral haemorrhage with magnetic induction tomography: numerical modelling.
in Physiological measurement
Zolgharni M
(2009)
Forward modelling of magnetic induction tomography: a sensitivity study for detecting haemorrhagic cerebral stroke.
in Medical & biological engineering & computing
Zolgharni M
(2010)
Frequency-difference MIT imaging of cerebral haemorrhage with a hemispherical coil array: numerical modelling.
in Physiological measurement