Generating surfaces for registration and warping FE meshes for the forward model in EIT of brain function.

Tizzard, Andrew and Holder, David S. and Bayford, Richard (2005) Generating surfaces for registration and warping FE meshes for the forward model in EIT of brain function. In: EMBEC 05: The 3rd European Medical and Biological Engineering Conference. IFMBE Proceedings (11). Springer, pp. 1727-1983.

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Abstract

The research group at University College, London has been investigating the application of Electrical Impedance Tomography (EIT) to the diagnosis of epilepsy and stroke using finite element meshes based on realistic anatomical geometric models for the forward solution. The process of generating patient-specific meshes is highly labour intensive and so it is proposed that a standard mesh be warped such that it more closely matches that of the subject. This paper presents the initial stages of this process: a bi-cubic B-Spline patch is approximated through the electrode positions and then further refined by an iterative process such that it interpolates all of them to within 0.1 mm accuracy. Electrode and landmark positions are taken from eight human and one phantom tank model. For human subjects, the positions were digitised prior to routine EIT measurement and for the tank, from a CT dataset. Surfaces were successfully fitted to all subjects to the desired accuracy after a relatively few number of iterations. The method used to parameterise the electrode positions is discussed as well as how the initial surface approximation is made. Results show the accuracy of the surface when compared to that modelled from an actual subject.

Item Type:Book Section
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Conference held on November 20-25. 2005, Prague, Czech Republic.

ISSN: 1727-1983

Keywords (uncontrolled):Application; Electrical impedance tomography; finite element meshes; geometric models; B-spline; accuracy; Human; SURFACE; surface approximation; Brain
Research Areas:Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences
Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group
ID Code:2924
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Deposited On:03 Nov 2009 11:21
Last Modified:08 Oct 2014 10:52

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