Feasibility of electrical impedance tomography in haemorrhagic stroke treatment using adaptive mesh

EIT has been proposed for acute stroke differentiation, specifically to determine the type of stroke, either ischaemia (clot) or haemorrhage (bleed) to allow the rapid use of clot-busting drugs in the former (Romsauerova et al 2006) . This addresses an important medical need, although there is little treatment offered in the case of haemorrhage. Also the demands on EIT are high with usually no availability to take a 'before' measurement, ruling out time difference imaging. Recently a new treatment option for haemorrhage has been proposed and is being studied in international randomised controlled trial: the early reduction of elevated blood pressure to attenuate the haematoma. This has been shown via CT to reduce bleeds by up to 1mL by Anderson et al 2008. The use of EIT as a continuous measure is desirable here to monitor the effect of blood pressure reduction. A 1mL increase of haemorrhagic lesion located near scalp on the right side of head caused a boundary voltage change of less than 0.05% at 50 kHz. This could be visually observed in a time difference 3D reconstruction with no change in electrode positions, mesh, background conductivity or drift when baseline noise was less than 0.005% but not when noise was increased to 0.01%. This useful result informs us that the EIT system must have noise of less than 0.005% at 50 kHz including instrumentation, physiological and other biases.

[1]  R Bayford,et al.  Design and calibration of a compact multi-frequency EIT system for acute stroke imaging. , 2006, Physiological measurement.

[2]  S. K. Law,et al.  Thickness and resistivity variations over the upper surface of the human skull , 2005, Brain Topography.

[3]  S. Arridge,et al.  Photon migration in non-scattering tissue and the effects on image reconstruction. , 1999, Physics in medicine and biology.

[4]  Richard H. Bayford,et al.  Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method , 2003, NeuroImage.

[5]  R H Bayford,et al.  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 , 2006, Physiological measurement.

[6]  D. Geselowitz An application of electrocardiographic lead theory to impedance plethysmography. , 1971, IEEE transactions on bio-medical engineering.

[7]  D S Holder,et al.  A review of errors in multi-frequency EIT instrumentation , 2007, Physiological measurement.

[8]  G Hahn,et al.  Systematic errors of EIT systems determined by easily-scalable resistive phantoms , 2008, Physiological measurement.

[9]  C. Anderson,et al.  Intensive blood pressure reduction in acute cerebral haemorrhage trial (INTERACT): a randomised pilot trial , 2008, The Lancet Neurology.

[10]  Thom F. Oostendorp,et al.  The conductivity of the human skull: results of in vivo and in vitro measurements , 2000, IEEE Transactions on Biomedical Engineering.

[11]  Lior Horesh,et al.  A feasibility study for imaging of epileptic seizures by EIT using a realistic FEM of the head 12th Conf. on Biomedical Application of EIT (Seoul, Korea) , 2006 .

[12]  D S Holder,et al.  Analysis of resting noise characteristics of three EIT systems in order to compare suitability for time difference imaging with scalp electrodes during epileptic seizures , 2007, Physiological measurement.

[13]  William R B Lionheart,et al.  A Matlab toolkit for three-dimensional electrical impedance tomography: a contribution to the Electrical Impedance and Diffuse Optical Reconstruction Software project , 2002 .