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On the stable estimation of flow geometry and wall shear stress from magnetic resonance images

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
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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