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Automated Cutting Plane Positioning for Intracranial Aneurysm Quantification.

Tim Jerman, Aichi Chien, Franjo Pernus

    IEEE Transactions on Bio-Medical Engineering
    |May 31, 2019
    PubMed
    Summary

    An automatic cutting plane (ACP) method accurately isolates intracranial aneurysms, reducing variability in morphologic and hemodynamic analysis. This approach offers reliable, repeatable aneurysm assessment for clinical applications.

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    Area of Science:

    • Medical Imaging
    • Computational Fluid Dynamics
    • Neurosurgery

    Background:

    • Aneurysm rupture risk assessment relies on morphologic and hemodynamic features from angiographic images.
    • Current feature extraction requires manual aneurysm isolation, leading to intra- and inter-rater variability.

    Purpose of the Study:

    • To develop and validate an automatic cutting plane (ACP) positioning method for aneurysm isolation.
    • To eliminate manual segmentation variabilities and improve the accuracy of aneurysm morphology and hemodynamics quantification.

    Main Methods:

    • Proposed innovative Hough-like and multi-hypothesis detection for aneurysm center and parent vessel inlets.
    • Utilized iterative ACP positioning with geometry-inspired cost function optimization.
    • Validated against manual cutting plane (MCP) and manual neck curve-based isolation.

    Main Results:

    • ACP isolation yielded smaller average inter-curve distances (AICDs) compared to MCP.
    • 90% of cases had AICD ≤ 0.5 mm, demonstrating high precision.
    • Intra- and inter-rater variability of manual methods was significantly higher than ACP.

    Conclusions:

    • The ACP method provides accurate and reliable aneurysm isolation, comparable to manual methods but with reduced variability.
    • Extracted morphologic features using ACP showed good agreement with MCP-based features.
    • ACP has significant potential for clinical applications in aneurysm morphology and hemodynamics quantification.