DocumentCode :
838918
Title :
Electrical capacitance tomography for flow imaging: system model for development of image reconstruction algorithms and design of primary sensors
Author :
Xie, C.G. ; Huang, S.M. ; Hoyle, B.S. ; Thorn, R. ; Lenn, C. ; Snowden, D. ; Beck, M.S.
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Manchester Inst. of Sci. & Technol., UK
Volume :
139
Issue :
1
fYear :
1992
fDate :
2/1/1992 12:00:00 AM
Firstpage :
89
Lastpage :
98
Abstract :
A software tool that facilitates the development of image reconstruction algorithms, and the design of optimal capacitance sensors for a capacitance-based 12-electrode tomographic flow imaging system are described. The core of this software tool is the finite element (FE) model of the sensor, which is implemented in OCCAM-2 language and run on the Inmos T800 transputers. Using the system model, the in-depth study of the capacitance sensing fields and the generation of flow model data are made possible, which assists, in a systematic approach, the design of an improved image-reconstruction algorithm. This algorithm is implemented on a network of transputers to achieve a real-time performance. It is found that the selection of the geometric parameters of a 12-electrode sensor has significant effects on the sensitivity distributions of the capacitance fields and on the linearity of the capacitance data. As a consequence, the fidelity of the reconstructed images are affected. Optimal sensor designs can, therefore, be provided, by accommodating these effects
Keywords :
computerised tomography; electric impedance imaging; electric sensing devices; finite element analysis; image sensors; Inmos T800 transputers; OCCAM-2 language; capacitance sensing fields; capacitance sensors; finite element; flow imaging; flow model data; image reconstruction algorithms; linearity; primary sensors; real-time performance; sensitivity distributions; software tool; system model; tomographic flow imaging system;
fLanguage :
English
Journal_Title :
Circuits, Devices and Systems, IEE Proceedings G
Publisher :
iet
ISSN :
0956-3768
Type :
jour
Filename :
125122
Link To Document :
بازگشت