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Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-Phase Ib: Effect of morphology on hemodynamics
Samuel Voß1,2, Oliver Beuing2,3, Gábor Janiga1,2
1Department of Fluid Dynamics and Technical Flows, University of Magdeburg, Magdeburg, Germany.
Insights
Variability in blood vessel segmentation significantly impacts intracranial aneurysm (IA) hemodynamic simulations. Accurate segmentation is crucial for reliable clinical interpretations and physician acceptance of IA research findings.
Area of Science:
- Medical Imaging
- Computational Fluid Dynamics
- Biomedical Engineering
Background:
- Image-based blood flow simulations are increasingly used for intracranial aneurysm (IA) hemodynamics.
- Physician acceptance is limited by high variability and questionable results quality.
Purpose of the Study:
- To evaluate vessel segmentation as a key error source in IA hemodynamics.
- To quantify segmentation-induced variability in hemodynamic simulations.
Main Methods:
- The international Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH) involved 26 groups segmenting 5 IAs.
- 73 time-dependent blood flow simulations were performed under consistent conditions.
- Flow and shear parameters (e.g., inflow rate, wall shear stress) were analyzed.
Main Results:
- Segmentation variability in parent vessel flow rate was ~14%.
- Mean aneurysmal velocity and neck inflow rate varied by 30% and 46%, respectively.
- Time-averaged wall shear stress showed 28-51% variation.
Conclusions:
- Segmentation algorithms significantly affect IA hemodynamic simulation outcomes.
- Observed variations can lead to misinterpretations and inappropriate clinical conclusions.
- Accurate segmentation is essential for reliable and clinically useful IA flow information.
Background:
Image-based blood flow simulations have been increasingly applied to investigate intracranial aneurysm (IA) hemodynamics. However, the acceptance among physicians remains limited due to the high variability in the underlying assumptions and quality of results.
Methods:
To evaluate the vessel segmentation as one of the most important sources of error, the international Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH) was announced. 26 research groups from 13 different countries segmented three datasets, which contained five IAs in total. Based on these segmentations, 73 time-dependent blood flow simulations under consistent conditions were carried out. Afterwards, relevant flow and shear parameters (e.g., neck inflow rate, parent vessel flow rate, spatial mean velocity, and wall shear stress) were analyzed both qualitatively and quantitatively.
Results:
Regarding the entire vasculature, the variability of the segmented vessel radius is 0.13 mm, consistent and independent of the local vessel radius. However, the centerline velocity shows increased variability in more distal vessels. Focusing on the aneurysms, clear differences in morphological and hemodynamic parameters were observed. The quantification of the segmentation-induced variability showed approximately a 14% difference among the groups for the parent vessel flow rate. Regarding the mean aneurysmal velocity and the neck inflow rate, a variation of 30% and 46% was observed, respectively. Finally, time-averaged wall shear stresses varied between 28% and 51%, depending on the aneurysm in question.
Conclusions:
MATCH reveals the effect of state-of-the-art segmentation algorithms on subsequent hemodynamic simulations for IA research. The observed variations may lead to an inappropriate interpretation of the simulation results and thus, can lead to inappropriate conclusions by physicians. Therefore, accurate segmentation of the region of interest is necessary to obtain reliable and clinically helpful flow information.
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