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Lung Ventilation Monitoring Incorporating Prior Information by Electrical Impedance Tomography

Chen, Xiaoyan and Wang, Huanxiang and Shi, Xiaolei and Yan, Yong and Cui, Ziqiang (2008) Lung Ventilation Monitoring Incorporating Prior Information by Electrical Impedance Tomography. In: 2008 IEEE Instrumentation and Measurement Technology Conference. IEEE, pp. 1531-1536. ISBN 978-1-4244-1540-3. (doi:10.1109/IMTC.2008.4547286) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:15493)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/IMTC.2008.4547286

Abstract

Electrical impedance tomography (EIT), as a relatively new medical imaging method, has the preferable features as inexpensive, safe, non-invasive and portable. Complementary to existing methods, it is expected to reconstruct accurate images of impedance changes in the object. One of the approaches to producing an accurately reconstructed image is the inclusion of prior information regarding the physical geometry of the object. A physical model incorporating the prior information of human thorax has been developed using a commercial software tool COMSOL. In this paper the developed model is presented along with lung ventilation experimental data 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 for clinical diagnoses and monitoring.

Item Type: Book section
DOI/Identification number: 10.1109/IMTC.2008.4547286
Uncontrolled keywords: lungs; ventilation; impedance; tomography; image reconstruction; biomedical monitoring; biomedical imaging; information geometry; humans; thorax
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 21 Apr 2009 09:17 UTC
Last Modified: 16 Nov 2021 09:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/15493 (The current URI for this page, for reference purposes)

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