title: Imaging cerebral haemorrhage with magnetic induction tomography: numerical modelling.
abstract: Magnetic induction tomography (MIT) is a new electromagnetic imaging modality which has the potential to image changes in the electrical conductivity of the brain due to different pathologies. In this study the feasibility of detecting haemorrhagic cerebral stroke with a 16-channel MIT system operating at 10 MHz was investigated. The finite-element method combined with a realistic, multi-layer, head model comprising 12 different tissues, was used for the simulations in the commercial FE package, Comsol Multiphysics. The eddy-current problem was solved and the MIT signals computed for strokes of different volumes occurring at different locations in the brain. The results revealed that a large, peripheral stroke (volume 49 cm(3)) produced phase changes that would be detectable with our currently achievable instrumentation phase noise level (17 m degrees ) in 70 (27%) of the 256 exciter/sensor channel combinations. However, reconstructed images showed that a lower noise level than this, of 1 m degrees , was necessary to obtain good visualization of the strokes. The simulated MIT measurements were compared with those from an independent transmission-line-matrix model in order to give confidence in the results.
authors.affiliation: School of Medicine, Swansea University, Swansea, SA2 8PP, UK.
authors.forename: M
authors.initials: M
authors.lastname: Zolgharni
authors.forename: P D
authors.initials: PD
authors.lastname: Ledger
authors.forename: D W
authors.initials: DW
authors.lastname: Armitage
authors.forename: D S
authors.initials: DS
authors.lastname: Holder
authors.forename: H
authors.initials: H
authors.lastname: Griffiths
mesh_terms: D002543:Cerebral Hemorrhage / Q000175:diagnosis*; D004553:Electric Conductivity; D020342:Finite Element Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008280:Magnetics / Q000379:methods*; D008959:Models, Neurological; D019047:Phantoms, Imaging; D014054:Tomography / Q000379:methods* / Q000706:statistics & numerical data