Title :
A convergence estimator for the iterative reconstruction of electrical impedance tomography images
Author :
Schuessler, Thomas F. ; Bates, Jason H T
Author_Institution :
Dept. of Biomed. Eng., McGill Univ., Montreal, Que., Canada
fDate :
31 Oct-3 Nov 1996
Abstract :
The reconstruction of electrical impedance tomography (EIT) images poses an inverse problem that requires iterative solution. However, due to its severe ill-conditioning the EIT problem often fails to converge toward a physically meaningful minimum. In this paper, we present an estimator that tracks the convergence of an iterative EIT image reconstruction process by comparing the trajectories of the image conductivities and the objective function. In a computer simulation, this criterion was fulfilled for all reconstructions that converged to a meaningful image
Keywords :
convergence of numerical methods; electric impedance imaging; image reconstruction; inverse problems; iterative methods; medical image processing; mesh generation; Gauss-Newton iteration; circular finite element mesh; computational phantom; computer simulation; convergence estimator; electrical impedance tomography images; ill-conditioning; image conductivities; image reconstruction; inverse problem; iterative reconstruction; objective function; trajectories; Conductivity; Convergence; Current measurement; Electrodes; Finite element methods; Image converters; Image reconstruction; Imaging phantoms; Impedance; Tomography;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.651966
