Egger, Herbert ; Teschner, Gabriel (2021)
On the stable estimation of flow geometry and wall shear stress from magnetic resonance images.
In: Inverse Problems, 2021, 35 (9)
doi: 10.26083/tuprints-00019327
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | On the stable estimation of flow geometry and wall shear stress from magnetic resonance images |
Language: | English |
Date: | 6 September 2021 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2021 |
Publisher: | IOP Publishing |
Journal or Publication Title: | Inverse Problems |
Volume of the journal: | 35 |
Issue Number: | 9 |
Collation: | 23 Seiten |
DOI: | 10.26083/tuprints-00019327 |
Corresponding Links: | |
Origin: | Secondary publication via sponsored Golden Open Access |
Abstract: | We consider the stable reconstruction of flow geometry and wall shear stress from measurements obtained by magnetic resonance imaging (MRI). As noted in a review article by Petersson, most approaches considered so far in the literature seem to not be satisfactory. We therefore propose a systematic reconstruction procedure that allows us to obtain stable estimates of flow geometry and wall shear stress and we are able to quantify the reconstruction errors in terms of bounds for the measurement errors under reasonable smoothness assumptions. A complete analysis of our approach is given in the framework of regularization methods. In addition, we briefly discuss the implementation of our method and we demonstrate its viability, accuracy, and regularizing properties for experimental data. |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-193277 |
Classification DDC: | 500 Science and mathematics > 510 Mathematics |
Divisions: | 04 Department of Mathematics > Numerical Analysis and Scientific Computing |
Date Deposited: | 06 Sep 2021 12:07 |
Last Modified: | 05 Dec 2024 16:24 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/19327 |
PPN: | 485301741 |
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