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Efficient algorithms for the regularization of dynamic inverse problems: II. Applications

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Wolters,  Carsten Hermann
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Schmitt, U., Louis, A. K., Wolters, C. H., & Vauhkonen, M. (2002). Efficient algorithms for the regularization of dynamic inverse problems: II. Applications. Inverse Problems, 18(3), 659-676.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-AF21-7
Abstract
In the first part of this paper the notion of dynamic inverse problems was introduced and two procedures, namely STR and STR-C , for the efficient spatio- temporal regularization of such problems were developed. In this part the application of the new methods to three practically important problems, namely dynamic computerized tomography, dynamic electrical impedance tomography and spatio-temporal current density reconstructions will be presented. Dynamic reconstructions will be carried out in simulated objects which show the quality of the methods and the efficiency of the solution process. A comparison to a Kalman smoother approach will be given for dynEIT .