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

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.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-AF21-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-43E3-0
Genre: Journal Article

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Schmitt, U., Author
Louis, A. K., Author
Wolters, Carsten Hermann1, Author              
Vauhkonen, M., Author
Affiliations:
1MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              

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 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 .

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Language(s): eng - English
 Dates: 2002
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 239350
ISI: 000176750400010
Other: P6815
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Title: Inverse Problems
Source Genre: Journal
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Publ. Info: London? : IOP Pub.
Pages: - Volume / Issue: 18 (3) Sequence Number: - Start / End Page: 659 - 676 Identifier: ISSN: 0266-5611
CoNE: https://pure.mpg.de/cone/journals/resource/954925499121