NDLI: A New Algorithm to Reconstruct EIT Images: Node-Back-Projection Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Jianjun Zhang Weili Yan Guizhi Xu Quanming Zhao
Copyright Year	2007
Description	Author affiliation: Hebei Univ. of Technol., Tianjin (Jianjun Zhang; Weili Yan; Guizhi Xu; Quanming Zhao)
Abstract	The approximately closed formula of voltage distribution on the boundary was resulted from those discrete data measured from electrodes by polynomial curve fitting method (PCFM). In addition, an assumption of equivalent potential distribution was proposed according to equivalent potential relation between the boundary voltage and inner node. Then, the correlation between the variation of inner node impedance and that of boundary voltage, node-back-projection algorithm (NBPA) was put forward accordingly. So the variation of inner node impedance was directly obtained from the variation of boundary voltage measured and electrical impedance tomography (EIT) was reconstructed by the interpolated algorithm, the resolution of image was improved. In this algorithm, the calculation of impedance for surface and volume was not needed, neither is iterative calculation. With the features of fewer calculations and quickly imaging, the new algorithm is suitable for the reconstruction of 3D EIT. In the meantime, a simple and feasible method was put to realize the real time inspection and measurement.
Starting Page	4390
Ending Page	4393
File Size	566052
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4353311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Tomography Surface impedance Iterative algorithms Electrodes Polynomials Curve fitting Impedance measurement Voltage measurement Electric variables measurement
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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