Investigation of the direct and indirect conductivity distribution image reconstruction algorithms in electrical tomography

Mykhaylo Dorozhovets, Anton Prygrodsky
2011 Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems  
In this paper the two indirect conductivity distribution reconstruction algorithms in electrical tomography are presented. The first algorithm based on the previous resistivity reconstruction and the second one based on the usage of the inverse measured voltages. Efficiency of the presented algorithms is compared with the efficiency of the direct conductivity distribution reconstruction algorithm. Modeling results shows that due to better linearity the both indirect algorithms always provides
more » ... s always provides better convergence of the iterative reconstruction process than direct algorithm. In indirect algorithms do not need to know exactly the level of initial approach of the conductivity distribution, because this level almost never affects the iterative process and initial approaching of the conductivity can always be uniform distribution of size 1 S·m. Therefore (at least in the first iterations) it is advisable to use indirect algorithms. REC REC J J 1 J
doi:10.1109/idaacs.2011.6072796 dblp:conf/idaacs/DorozhovetsP11 fatcat:ensuzqd7zbgztdvdittgryy4wq