title: Multi-frequency electrical impedance tomography (EIT) of the adult human head: initial findings in brain tumours, arteriovenous malformations and chronic stroke, development of an analysis method and calibration.
abstract: MFEIT (multi-frequency electrical impedance tomography) could distinguish between ischaemic and haemorrhagic stroke and permit the urgent use of thrombolytic drugs in patients with ischaemic stroke. The purpose of this study was to characterize the UCLH Mk 2 MFEIT system, designed for this purpose, with 32 electrodes and a multiplexed 2 kHz to 1.6 MHz single impedance measuring circuit. Data were collected in seven subjects with brain tumours, arteriovenous malformations or chronic stroke, as these resembled the changes in haemorrhagic or ischaemic stroke. Calibration studies indicated that the reliable bandwidth was only 16-64 kHz because of front-end components placed to permit simultaneous EEG recording. In raw in-phase component data, the SD of 16-64 kHz data for one electrode combination across subjects was 2.45 +/- 0.9%, compared to a largest predicted change of 0.35% estimated using the FEM of the head. Using newly developed methods of examining the most sensitive channels from the FEM, and nonlinear imaging constrained to the known site of the lesion, no reproducible changes between pathologies were observed. This study has identified a specification for accuracy in EITS in acute stroke, identified the size of variability in relation to this in human recordings, and presents new methods for analysis of data. Although no reproducible changes were identified, we hope this will provide a foundation for future studies in this demanding but potentially powerful novel application.
authors.affiliation: Department of Medical Physics and Bioengineering, UCL, London, UK. a.romsauerova@ucl.ac.uk
authors.forename: A
authors.initials: A
authors.lastname: Romsauerova
authors.forename: A
authors.initials: A
authors.lastname: McEwan
authors.forename: L
authors.initials: L
authors.lastname: Horesh
authors.forename: R
authors.initials: R
authors.lastname: Yerworth
authors.forename: R H
authors.initials: RH
authors.lastname: Bayford
authors.forename: D S
authors.initials: DS
authors.lastname: Holder
mesh_terms: D000328:Adult; D000465:Algorithms; D002545:Brain Ischemia / Q000150:complications / Q000175:diagnosis / Q000503:physiopathology; D001932:Brain Neoplasms / Q000175:diagnosis / Q000503:physiopathology; D002138:Calibration; D003937:Diagnosis, Differential; D017097:Electric Impedance; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006257:Head / Q000503:physiopathology; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation* / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D002538:Intracranial Arteriovenous Malformations / Q000175:diagnosis / Q000503:physiopathology; D019047:Phantoms, Imaging; D010865:Pilot Projects; D010992:Plethysmography, Impedance / Q000295:instrumentation* / Q000379:methods; D012016:Reference Values; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D020521:Stroke / Q000175:diagnosis* / Q000209:etiology / Q000503:physiopathology*; D014054:Tomography / Q000295:instrumentation* / Q000379:methods