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Comparison of landmark-based and automatic methods for cortical surface registration.

Dimitrios Pantazis1, Anand Joshi, Jintao Jiang

  • 1Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA.

Neuroimage
|October 3, 2009
PubMed
Summary

Cortical surface registration aligns brain structures across subjects. A new landmark protocol shows comparable accuracy to automated methods like FreeSurfer in some regions, but automated tools may misalign key landmarks.

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Brain Anatomy

Background:

  • Group analysis of cerebral cortex structure or function requires accurate cortical surface registration.
  • Surface-based registration aligns convoluted cortical surfaces across subjects using landmarks or curvature metrics.
  • Existing methods include user-interactive landmark-based approaches and fully automated techniques.

Purpose of the Study:

  • To introduce a novel cortical delineation protocol with 26 consistent landmarks.
  • To compare the performance of this landmark-based registration method against automated FreeSurfer and BrainVoyager software.
  • To evaluate registration accuracy using discrepancy maps, region of interest alignment, and standard landmark alignment.

Main Methods:

  • Development of a 26-landmark cortical delineation protocol.

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  • Application of a landmark-based registration method using the protocol.
  • Comparison with automated registration methods in FreeSurfer and BrainVoyager.
  • Evaluation metrics included discrepancy maps, ROI alignment accuracy, and landmark alignment fidelity.

    • Main Results:

    • Landmark-based and FreeSurfer methods showed similar performance for regions of interest in the perisylvian cortex.
    • Significant variability was observed between methods in frontal and occipital cortex.
    • Automated methods frequently resulted in misalignment of standard cortical landmarks.

    Conclusions:

    • The choice of cortical registration method should depend on the specific analytical goals, particularly the need for precise sulcal alignment.
    • Users employing automated registration methods must verify adequate alignment of critical sulci within their regions of interest.
    • Careful consideration of registration technique is crucial for reliable group-level analysis of brain structure and function.