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2008 International Conference on BioMedical Engineering and Informatics
Comparisons between Circle and Structural Models in Lung Ventilation Reconstruction by Electrical Impedance Tomography
May 27-May 30
ISBN: 978-0-7695-3118-2
ASCII Text
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Xiaoyan Chen, Huanxiang Wang, Xiaolei Shi, Li Hu, "Comparisons between Circle and Structural Models in Lung Ventilation Reconstruction by Electrical Impedance Tomography," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 53-57, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.336,
author = {Xiaoyan Chen and Huanxiang Wang and Xiaolei Shi and Li Hu},
title = {Comparisons between Circle and Structural Models in Lung Ventilation Reconstruction by Electrical Impedance Tomography},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {2},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {53-57},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.336},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Comparisons between Circle and Structural Models in Lung Ventilation Reconstruction by Electrical Impedance Tomography
SN - 978-0-7695-3118-2
SP53
EP57
A1 - Xiaoyan Chen,
A1 - Huanxiang Wang,
A1 - Xiaolei Shi,
A1 - Li Hu,
PY - 2008
KW - Electrical impedance tomography (EIT)
KW - lung ventilation
KW - sensitivities distribution
KW - reconstruction images
VL - 2
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
In this paper, a set of electrical impedance tomography (EIT) system, EIT_TJU II system is presented. A physical model regarding the prior information of human thorax has been illustrated, and the sensitivities distribution comparing with the circle model is analyzed. By numerical analyzing the uniformity and the nonlinearity of the structural model are improved. The lung ventilation experiments are undertaken on the different models. The visualization results of lung ventilation indicate that EIT incorporating prior information is a promising technique which has the potential to be applied in future clinical diagnoses and monitoring.
Index Terms:
Electrical impedance tomography (EIT), lung ventilation, sensitivities distribution, reconstruction images
Citation:
Xiaoyan Chen, Huanxiang Wang, Xiaolei Shi, Li Hu, "Comparisons between Circle and Structural Models in Lung Ventilation Reconstruction by Electrical Impedance Tomography," bmei, vol. 2, pp.53-57, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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