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

Schmitt, U.; Louis, A. K.; Wolters, Carsten Hermann; Vauhkonen, M.

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

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

MPS-Authors

/persons/resource/persons20114

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

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

schmitt.pdf
(全文テキスト（全般）), 621KB

付随資料 (公開)

There is no public supplementary material available

引用

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.

引用: https://hdl.handle.net/11858/00-001M-0000-0010-AF21-7

要旨

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 .