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  4. User-dependent variability in mitral valve segmentation and its impact on CFD-computed hemodynamic parameters
 
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2019
Journal Article
Title

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

Abstract
Purpose: 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. Methods: 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. Results: 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. Conclusion: 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.
Author(s)
Vellguth, K.
Brüning, J.
Tautz, L.
Degener, F.
Wamala, I.
Sündermann, S.
Kertzscher, U.
Kuehne, T.
Hennemuth, A.
Falk, V.
Goubergrits, L.
Journal
International journal of computer assisted radiology and surgery  
DOI
10.1007/s11548-019-02012-1
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
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