Non-linear electrical tomography reconstruction can be performed efficiently if certain optimizations are applied to the computational reconstruction process. We present a 3D non-linear reconstruction algorithm based on a regularized conjugate-gradient solver and discuss the optimizations which we incorporated to allow for an efficient and accurate reconstruction. In particular, the application of image smoothness constraints or other regularization techniques and auto-adaptive mesh refinement are highly relevant. We demonstrate the results of applying this algorithm to the reconstruction of a simulated material distribution in a cubic volume. Keywords: 3D non-linear electrical impedance tomography, optimised reconstruction algorithm, increased spatial resolution, parallel computing.
|Title of host publication||Proceedings of the 2nd World Congress on Industrial Process Tomography|
|Number of pages||3|
|Publication status||Published - 1 Aug 2001|
|Name||Proceedings of the 2nd World Congress on Industrial Process Tomography|
Molinari, M., Cox, SJ. J., Blott, B. H., & Daniell, G. J. (2001). Efficient Non-Linear 3D Electrical Tomography Reconstruction. In Proceedings of the 2nd World Congress on Industrial Process Tomography (pp. 29-31). (Proceedings of the 2nd World Congress on Industrial Process Tomography). http://eprints.ecs.soton.ac.uk/5995/