DocumentCode :
2206251
Title :
Pattern recognition based imaging in electrical impedance tomography
Author :
Mikhailova, Olga ; Dai, Wei-Wen ; Chee, Johnny
Author_Institution :
Dept. of Electr. Comput. & Eng., Ngee Ann Polytech., Singapore
Volume :
2
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
762
Abstract :
Images of electrical conductivity distribution obtained by electrical impedance tomography (EIT) are mostly limited in spatial resolution. This paper considers a pattern recognition based imaging, PRB-Imaging, as an alternative approach to image reconstruction in EIT. Some testing results are discussed
Keywords :
electric impedance imaging; image reconstruction; inverse problems; learning (artificial intelligence); medical image processing; pattern recognition; 2D graphical model; electrical conductivity distribution; electrical impedance tomography; ill-posedness; image reconstruction; pattern recognition based imaging; reticulated structure; spatial resolution; training; Conductivity measurement; Image reconstruction; Impedance; Least squares approximation; Neural networks; Pattern recognition; Spatial resolution; Testing; Tomography; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.651964
Filename :
651964
Link To Document :
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