Statistical analysis for brain EIT images using SPM.
Zhang, Yan and Passmore, Peter J. and Yerworth, Rebecca J. and Bayford, Richard (2005) Statistical analysis for brain EIT images using SPM. In: Proceedings: International Conference on Medical Information Visualisation; BioMedical Visualisation (MediVis). Institute of Electrical and Electronics Engineers , pp. 60-67. ISBN 0769523935
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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
Electrical impedance tomography (EIT) is a relatively new medical imaging method, which is based on the physiological property that different tissues have different impedances. EIT imaging of brain provides neuroimages by detecting functional impedance changes in the brain caused by cell swelling, blood volume and flow increase, and neuronal depolarisation. These changes are very subtle, therefore imaging analysis is usually needed to enhance the images. In this paper, statistical processing is adopted to analyse brain EIT images. The feasibility of using SPM (Statistical Parametric Mapping), a popular statistical software package used for neuroimages obtained by SPECT/PET or fMRI, to analyse simulated brain EIT images is studied. A scheme of utilizing SPM to interpret brain EIT data is presented. The experimental results suggest that it is reasonable to process brain EIT images with SPM.
|Item Type:||Book Section|
Third international conference held July 5-7, 2005, London, England.
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences|
Middlesex University Schools and Centres > School of Science and Technology > Computer Science
Middlesex University Schools and Centres > School of Science and Technology > Computer Science > Artificial Intelligence group
Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group
|Deposited On:||16 Mar 2010 11:52|
|Last Modified:||09 Dec 2014 13:36|
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