Title :
The 2D model for a highly adaptive EIT sensor and image reconstruction algorithms
Author :
Cao, Z. ; Wang, H.X. ; Yin, W. ; Yan, Y.
Author_Institution :
Tianjin Univ., Tianjin
Abstract :
The 2D mathematical model of a highly adaptive sensor for use in electrical impedance tomography (EIT) is established. Based on the model, the optimized parameters of the sensor are obtained. Reconstructed images are presented to illustrate the effectiveness of the model using Tikhonov regularization methods based on the sensitivity theorem. The quality of reconstructed images is high in both size and position.
Keywords :
electric impedance imaging; image reconstruction; image sensors; tomography; Tikhonov regularization methods; adaptive sensor; electrical impedance tomography; highly adaptive EIT sensor; image reconstruction algorithms; sensitivity theorem; Conductivity; Electric variables measurement; Electronic mail; Fluid dynamics; Fluid flow measurement; Image reconstruction; Image sensors; Impedance; Permittivity measurement; Tomography; 2D model; electrical impedance tomography; highly adaptive sensor; optimization;
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location :
Warsaw
Print_ISBN :
1-4244-0588-2
DOI :
10.1109/IMTC.2007.379121
