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Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Morphological parameters of intracranial aneurysms (IAs) are well established for rupture risk assessment. However, a manual measurement is error-prone, not reproducible and cumbersome. For an automatic extraction of morphological parameters, a 3D neck curve reconstruction approach to delineate the aneurysm from the parent vessel is required.

Methods

We present a 3D semiautomatic aneurysm neck curve reconstruction for the automatic extraction of morphological parameters which was developed and evaluated with an experienced neuroradiologist. We calculate common parameters from the literature and include two novel angle-based parameters: the characteristic dome point angle and the angle difference of base points.

Results

We applied our method to 100 IAs acquired with rotational angiography in clinical routine. For validation, we compared our approach to manual segmentations yielding highly significant correlations. We analyzed 95 of these datasets regarding rupture state. Statistically significant differences were found in ruptured and unruptured groups for maximum diameter, maximum height, aspect ratio and the characteristic dome point angle. These parameters were also found to statistically significantly correlate with each other.

Conclusions

The new 3D neck curve reconstruction provides robust results for all datasets. The reproducibility depends on the vessel tree centerline and the user input for the initial dome point and parameters characterizing the aneurysm neck region. The characteristic dome point angle as a new metric regarding rupture risk assessment can be extracted. It requires less computational effort than the complete neck curve reconstruction.

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Acknowledgements

The work was funded by the Federal Ministry of Education and Research within the Forschungscampus STIMULATE under Grant No. “13GW0095A.”

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Authors and Affiliations

  1. Department of Simulation and Graphics, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany

    Sylvia Saalfeld, Annika Niemann, Maria Luz & Bernhard Preim

  2. Department of Fluid Dynamics and Technical Flows, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany

    Philipp Berg

  3. Department of Neuroradiology, University Hospital of Magdeburg, Magdeburg, Germany

    Oliver Beuing

  4. Research Campus STIMULATE, Magdeburg, Germany

    Sylvia Saalfeld, Philipp Berg, Bernhard Preim & Oliver Beuing

Authors
  1. Sylvia Saalfeld
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  2. Philipp Berg
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  4. Maria Luz
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  5. Bernhard Preim
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  6. Oliver Beuing
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Correspondence to Sylvia Saalfeld.

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The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. For this type of study, formal consent is not required.

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Informed consent was obtained from all individual participants included in the study.

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Saalfeld, S., Berg, P., Niemann, A. et al. Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters. Int J CARS 13, 1781–1793 (2018). https://doi.org/10.1007/s11548-018-1848-x

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  • DOI: https://doi.org/10.1007/s11548-018-1848-x

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