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.
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Funding
This work is part of the BMBF VIP+ project DSSMitral (funded by the German Federal Ministry of Education and Research under Grant No. 03VP00851) and the EurValve project (funded by the European Union’s Horizon 2020 research program under Grant No. 689617).
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Vellguth, K., Brüning, J., Tautz, L. et al. User-dependent variability in mitral valve segmentation and its impact on CFD-computed hemodynamic parameters. Int J CARS 14, 1687–1696 (2019). https://doi.org/10.1007/s11548-019-02012-1
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DOI: https://doi.org/10.1007/s11548-019-02012-1