TY - GEN
T1 - Evaluation of effect of number of electrodes in ERT sensors on image quality
AU - Ye, Jiamin
AU - Wang, Haigang
AU - Yang, Wuqiang
PY - 2013
Y1 - 2013
N2 - It is assumed that the spatial resolution of the reconstructed images with an electrical resistance tomography (ERT) system can be improved by increasing the number of measurement electrodes. In this paper, the issues with the number of electrodes will be discussed. To analyze the effect of the number of electrodes on the quality of reconstructed images, ERT sensors with different number of electrodes - 8, 12, 16, 20, 24, 32, 36, 40 and 48 - are investigated. With the adjacent and opposite strategies, the voltages between different electrode pairs are calculated for some typical conductivity distributions with different contrast in conductivity using a finite element method. The obtained voltage data are then used to reconstruct images using the projected Landweber iteration algorithm. In the meanwhile, the impact of meshes in the inverse problem solver on image quality is also discussed. The sensitivity distributions for all cases are analyzed utilizing singular value decomposition (SVD). The analytical results are in agreement with the simulation results.
AB - It is assumed that the spatial resolution of the reconstructed images with an electrical resistance tomography (ERT) system can be improved by increasing the number of measurement electrodes. In this paper, the issues with the number of electrodes will be discussed. To analyze the effect of the number of electrodes on the quality of reconstructed images, ERT sensors with different number of electrodes - 8, 12, 16, 20, 24, 32, 36, 40 and 48 - are investigated. With the adjacent and opposite strategies, the voltages between different electrode pairs are calculated for some typical conductivity distributions with different contrast in conductivity using a finite element method. The obtained voltage data are then used to reconstruct images using the projected Landweber iteration algorithm. In the meanwhile, the impact of meshes in the inverse problem solver on image quality is also discussed. The sensitivity distributions for all cases are analyzed utilizing singular value decomposition (SVD). The analytical results are in agreement with the simulation results.
KW - electrical resistance tomography
KW - image reconstruction
KW - resistance sensor
UR - https://www.scopus.com/pages/publications/84894490287
U2 - 10.1109/IST.2013.6729655
DO - 10.1109/IST.2013.6729655
M3 - 会议稿件
AN - SCOPUS:84894490287
SN - 9781467357906
T3 - IST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings
SP - 19
EP - 24
BT - IST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings
T2 - 2013 IEEE International Conference on Imaging Systems and Techniques, IST 2013
Y2 - 22 October 2013 through 23 October 2013
ER -