Comparison of methods for optimal choice of the regularization parameter for linear electrical impedance tomography of brain function
Article
Abascal, J., Arridge, S., Bayford, R. and Holder, D. 2008. Comparison of methods for optimal choice of the regularization parameter for linear electrical impedance tomography of brain function. Physiological Measurement. 29 (11), pp. 1319-1334. https://doi.org/10.1088/0967-3334/29/11/007
Type | Article |
---|---|
Title | Comparison of methods for optimal choice of the regularization parameter for linear electrical impedance tomography of brain function |
Authors | Abascal, J., Arridge, S., Bayford, R. and Holder, D. |
Abstract | Electrical impedance tomography has the potential to provide a portable non-invasive method for imaging brain function. Clinical data collection has largely been undertaken with time difference data and linear image reconstruction methods. The purpose of this work was to determine the best method for selecting the regularization parameter of the inverse procedure, using the specific application of evoked brain activity in neonatal babies as an exemplar. The solution error norm and image SNR for the L-curve (LC), discrepancy principle (DP), generalized cross validation (GCV) and unbiased predictive risk estimator (UPRE) selection methods were evaluated in simulated data using an anatomically accurate finite element method (FEM) of the neonatal head and impedance changes due to blood flow in the visual cortex recorded in vivo. For simulated data, LC, GCV and UPRE were equally best. In human data in four neonatal infants, no significant differences were found among selection methods. We recommend that GCV or LC be employed for reconstruction of human neonatal images, as UPRE requires an empirical estimate of the noise variance. |
Research Group | Biophysics and Bioengineering group |
Publisher | Institute of Physics. |
Journal | Physiological Measurement |
ISSN | 0967-3334 |
Electronic | 1361-6579 |
Publication dates | |
01 Nov 2008 | |
Online | 14 Oct 2008 |
Publication process dates | |
Deposited | 21 May 2009 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1088/0967-3334/29/11/007 |
Language | English |
https://repository.mdx.ac.uk/item/81q51
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