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    Area of Science:

    • Computer graphics
    • Scientific visualization
    • Medical imaging

    Background:

    • Understanding variability in 3D surfaces is crucial for applications like anatomical atlas construction.
    • Ensemble uncertainty visualization techniques are needed to represent collections of surfaces.
    • Existing methods may not adequately capture the distribution of surface variations.

    Purpose of the Study:

    • To extend the contour boxplot technique for visualizing variability in 3D surface ensembles.
    • To evaluate the 3D contour boxplot against other visualization methods for ensemble data.
    • To demonstrate the utility of this technique in atlas construction and analysis.

    Main Methods:

    • Development of a 3D contour boxplot visualization technique.
    • Comparison with enumeration-style visualization of ensemble members.
    • Evaluation against conventional visualizations used by atlas builders.

    Main Results:

    • The 3D contour boxplot effectively visualizes the distribution of surface variability within ensembles.
    • The technique proves efficient for analyzing shape alignment and variability.
    • Demonstrated efficacy in a real-world application of atlas construction.

    Conclusions:

    • The 3D contour boxplot is a valuable tool for ensemble uncertainty visualization of 3D surfaces.
    • This method enhances the analysis of shape variability in atlas development.
    • The technique offers a robust approach for understanding complex surface distributions.