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PMID: 31218472 Published · ppublish English Journal Article

User-dependent variability in mitral valve segmentation and its impact on CFD-computed hemodynamic parameters.

International journal of computer assisted radiology and surgery ·Vol. 14 ·No. 10 ·2019-10-00 ·页码 1687-1696

Vellguth K, Brüning J, Tautz L, Degener F, Wamala I, Sündermann S, Kertzscher U, Kuehne T, Hennemuth A, Falk V, Goubergrits L

Abstract

While novel tools for segmentation of the mitral valve are often based on automatic image processing, they mostly require manual interaction by a proficient user. Those segmentations are essential for numerical support of mitral valve treatment using computational fluid dynamics, where the reconstructed geometry is incorporated into a simulation domain. To quantify the uncertainty and reliability of hemodynamic simulations, it is crucial to examine the influence of user-dependent variability in valve segmentation. Previously, the inter-user variability of landmarks in mitral valve segmentation was investigated. Here, the inter-user variability of geometric parameters of the mitral valve, projected orifice area (OA) and projected annulus area (AA), is investigated for 10 mitral valve geometries, each segmented by three users. Furthermore, the propagation of those variations into numerically calculated hemodynamics, i.e., the blood flow velocity, was investigated. Among the three geometric valve parameters, AA was least user-dependent. Almost all deviations to the mean were below 10%. Larger variations were observed for OA. Variations observed for the numerically calculated hemodynamics were in the same order of magnitude as those of geometric parameters. No correlation between variation of geometric parameters and variation of calculated hemodynamic parameters was found. Errors introduced due to the user-dependency were of the same size as the variations of calculated hemodynamics. The variation was thereby of the same scale as deviations in clinical measurements of blood flow velocity using Doppler echocardiography. Since no correlation between geometric and hemodynamic uncertainty was found, further investigation of the complex relationship between anatomy, leaflet shape and flow is necessary.

Keywords
CFD Hemodynamic Image segmentation Mitral valve Patient specific Uncertainty Virtual treatment planning
MeSH 主题词
Adult Aged Algorithms Blood Flow Velocity Computational Biology/methods Female Hemodynamics/physiology Humans Image Processing, Computer-Assisted/methods Male Middle Aged Mitral Valve/diagnostic imaging Mitral Valve Insufficiency/diagnostic imaging,surgery Reproducibility of Results
作者与单位
共 11 位作者,点击展开单位 / ORCID
Vellguth Katharina ORCID
Charité - Universitätsmedizin Berlin, Berlin, Germany. [email protected].
Brüning Jan
Charité - Universitätsmedizin Berlin, Berlin, Germany.
Tautz Lennart
Charité - Universitätsmedizin Berlin, Berlin, Germany. | Fraunhofer MEVIS, Bremen, Germany.
Degener Franziska
Charité - Universitätsmedizin Berlin, Berlin, Germany. | German Heart Institute Berlin - DHZB, Berlin, Germany.
Wamala Isaac
German Heart Institute Berlin - DHZB, Berlin, Germany.
Sündermann Simon
Charité - Universitätsmedizin Berlin, Berlin, Germany.
Kertzscher Ulrich
Charité - Universitätsmedizin Berlin, Berlin, Germany.
Kuehne Titus
Charité - Universitätsmedizin Berlin, Berlin, Germany. | German Heart Institute Berlin - DHZB, Berlin, Germany. | DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.
Hennemuth Anja
Charité - Universitätsmedizin Berlin, Berlin, Germany. | Fraunhofer MEVIS, Bremen, Germany.
Falk Volkmar
Charité - Universitätsmedizin Berlin, Berlin, Germany. | German Heart Institute Berlin - DHZB, Berlin, Germany. | DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.
Goubergrits Leonid
Charité - Universitätsmedizin Berlin, Berlin, Germany.
Article Info
Journal
International journal of computer assisted radiology and surgery
Abbr.
Int J Comput Assist Radiol Surg
ISSN
1861-6429
Corresponding email
Published
2019-10-00
电子出版
2019-00-19
页码
1687-1696
Language
English
Country/Region
Germany
NLM ID
101499225
基金资助
Bundesministerium für Bildung und Forschung (DE) · 03VP00851
H2020 European Research Council · 689617
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