TY - GEN
T1 - On-line directional algebraic reconstruction technique for electrical capacitance tomography
AU - Kim, Ji Hoon
AU - Kang, Byoung Chae
AU - Choi, Bong Yeol
AU - Lee, Seong Hun
AU - Kim, Kyung Youn
PY - 2006
Y1 - 2006
N2 - In general, image reconstruction algorithms for electrical capacitance tomography (ECT) can be classified into iterative and noniterative algorithms. Iterative algorithms produce better quality images however they can only be used off-line due to intensive computational burden. In the context of computational burden, in this paper we propose a fast noniterative image reconstruction algorithm called on-line directional algebraic reconstruction technique (OLDART) which likes its predecessor, directional algebraic reconstruction technique (DART), produces the same quality image but reduces the reconstruction time. The reconstruction procedure of the proposed algorithm comprises of two steps. In the first step, a modified weighting matrix is generated off-line, and in the second step, the matrix is used for on-line image reconstruction in the same manner as the sensitivity matrix in the linear back-projection algorithm is used. In order to assess the reconstruction performance, extensive simulation results are provided for the proposed approach.
AB - In general, image reconstruction algorithms for electrical capacitance tomography (ECT) can be classified into iterative and noniterative algorithms. Iterative algorithms produce better quality images however they can only be used off-line due to intensive computational burden. In the context of computational burden, in this paper we propose a fast noniterative image reconstruction algorithm called on-line directional algebraic reconstruction technique (OLDART) which likes its predecessor, directional algebraic reconstruction technique (DART), produces the same quality image but reduces the reconstruction time. The reconstruction procedure of the proposed algorithm comprises of two steps. In the first step, a modified weighting matrix is generated off-line, and in the second step, the matrix is used for on-line image reconstruction in the same manner as the sensitivity matrix in the linear back-projection algorithm is used. In order to assess the reconstruction performance, extensive simulation results are provided for the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=50149090032&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2007.355617
DO - 10.1109/ICSENS.2007.355617
M3 - Conference contribution
AN - SCOPUS:50149090032
SN - 1424403766
SN - 9781424403769
T3 - Proceedings of IEEE Sensors
SP - 923
EP - 926
BT - 2006 5th IEEE Conference on Sensors
T2 - 2006 5th IEEE Conference on Sensors
Y2 - 22 October 2006 through 25 October 2006
ER -