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Updated: May 3, 2026

A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle
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MANDIBULAR ASYMMETRY CHARACTERIZATION USING GENERALIZED TENSOR-BASED MORPHOMETRY.

Beatriz Paniagua1, Abeer Alhadidi1, Lucia Cevidanes1

  • 1Department of Orthodontics, University of North Carolina at Chapel Hill.

Proceedings. IEEE International Symposium on Biomedical Imaging
|January 21, 2014
PubMed
Summary
This summary is machine-generated.

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This study introduces a tensor-based morphometry (TBM) framework for precise 3D facial asymmetry quantification using CBCT scans. The method aids surgeons in planning corrective procedures by detailing asymmetry location and magnitude.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Quantitative Anatomy

Background:

  • Accurate assessment of facial asymmetry is vital for effective surgical planning.
  • Current methods may lack precision in quantifying complex asymmetries.
  • 3D imaging offers potential for detailed anatomical analysis.

Purpose of the Study:

  • To develop and validate a tensor-based morphometry (TBM) framework for quantitative facial asymmetry assessment.
  • To utilize 3D CBCT images for precise localization and quantification of mandibular asymmetry.
  • To provide surgeons with comprehensive, visualized data for improved surgical planning.

Main Methods:

  • Computed rigid transformation for global alignment of mandible segmentation and its mirror image.
Keywords:
Tensor-based Morphometrymandibular asymmetryorthognatic surgical planningshape analysis

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  • Performed nonrigid registration of aligned images.
  • Applied tensor-based morphometry (TBM) to analyze deformation fields and quantify asymmetry.

    • Main Results:

    • The TBM framework successfully located and quantified facial asymmetry in 3D CBCT images.
    • Global and local asymmetry data were derived, detailing location, magnitude, and direction.
    • Volumetric and surface-based visualizations provided clear anatomical insights for surgical planning.

    Conclusions:

    • The proposed TBM framework offers a robust method for quantitative facial asymmetry assessment.
    • This technique enhances surgical planning by providing detailed, visualized asymmetry data.
    • The framework demonstrates feasibility and effectiveness in representative patient cases.