Statistical analysis for brain EIT images using SPM
Conference paper
Zhang, Y., Passmore, P., Yerworth, R. and Bayford, R. 2005. Statistical analysis for brain EIT images using SPM. 3rd International Conference on Medical Information Visualisation--BioMedical Visualisation. London, UK 05 - 07 Jul 2005 IEEE. pp. 60-67 https://doi.org/10.1109/MEDIVIS.2005.17
| Type | Conference paper |
|---|---|
| Title | Statistical analysis for brain EIT images using SPM |
| Authors | Zhang, Y., Passmore, P., Yerworth, R. and Bayford, R. |
| Abstract | 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. |
| Research Group | Artificial Intelligence group |
| Biophysics and Bioengineering group | |
| Conference | 3rd International Conference on Medical Information Visualisation--BioMedical Visualisation |
| Page range | 60-67 |
| Proceedings Title | Third International Conference on Medical Information Visualisation--BioMedical Visualisation |
| ISBN | |
| Hardcover | 0769523935 |
| Publisher | IEEE |
| Publication dates | |
| 07 Jul 2005 | |
| Online | 19 Sep 2005 |
| Publication process dates | |
| Deposited | 16 Mar 2010 |
| Output status | Published |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/MEDIVIS.2005.17 |
| Web address (URL) of conference proceedings | https://doi.org/10.1109/IEEECONF10925.2005 |
| Language | English |
https://repository.mdx.ac.uk/item/825w4
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