Validation of finite element mesh warping for improving the forward model in EIT of brain function
Tizzard, Andrew ORCID: https://orcid.org/0000-0002-6159-4901 and Bayford, Richard
ORCID: https://orcid.org/0000-0001-8863-6385
(2007)
Validation of finite element mesh warping for improving the forward model in EIT of brain function.
In:
IFMBE Proceedings, Part II - 13th International Conference on Electrical Bioimpedance and 8th Conference on Electrical Impedance Tomography 2007.
Scharfetter, H. and Merwa, R., eds.
Springer-Verlag, Graz, Austria, pp. 368-371.
ISBN 9783540738404.
[Book Section]
Abstract
This group has previously presented methods for the rapid generation of patient-specific finite element (FE) models for use in EIT reconstruction using elastic deformation. In particular, the work has concentrated on the imaging of brain function, and methods for warping existing FE library models of varying complexity but with accurate anatomical details have been developed and reported. What is still unclear is how the use of the more accurate geometric form from the warped FE mesh improves the forward solution and the quality of reconstructed images. This paper presents initial results that validate this notion by comparison of boundary voltages, image quality and localization accuracy within a warped mesh with data from a simulated forward solution and phantom measurements.
Item Type: | Book Section |
---|---|
Additional Information: | ID: 347; RP: IN FILE; 28 |
Keywords (uncontrolled): | Brain; EIT forward problem; finite-element analysis; Electrical impedance tomography |
Research Areas: | A. > School of Science and Technology > Natural Sciences A. > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group |
Item ID: | 2922 |
Useful Links: | |
Depositing User: | Dr Andrew Tizzard |
Date Deposited: | 30 Aug 2012 06:49 |
Last Modified: | 13 Oct 2016 14:15 |
URI: | https://eprints.mdx.ac.uk/id/eprint/2922 |
Actions (login required)
![]() |
View Item |
Statistics
Additional statistics are available via IRStats2.