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Development and validation of a semi-automatic landmark extraction method for mesh morphing.

Jun Wu1, Meiling Cai2, Junyi Li3

  • 1College of Engineering and Design, Hunan Normal University, Changsha, Hunan, China; State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan, China.

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This study introduces a semi-automatic method for landmark extraction, significantly reducing time for creating accurate parametric human finite element models. This innovation speeds up mesh morphing without compromising geometric precision.

Keywords:
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Area of Science:

  • Biomedical Engineering
  • Computational Mechanics
  • Finite Element Analysis

Background:

  • Landmark-based mesh morphing is crucial for developing parametric human finite element (FE) models.
  • Current manual landmark extraction is time-consuming, hindering rapid geometric accuracy.
  • Efficient methods are needed to accelerate the creation of accurate FE models.

Purpose of the Study:

  • To develop and validate a semi-automatic landmark extraction method for mesh morphing.
  • To reduce the time spent on manual landmark selection.
  • To maintain or improve geometric accuracy in FE model generation.

Main Methods:

  • Manual extraction of a few contour edge landmarks.
  • Automatic extraction of mathematical and pseudo-landmarks using a user-defined algorithm.
  • Radial Basis Function (RBF) for morphing baseline FE models to target geometries.
  • Validation using cervical vertebra (C5), rib (R7), and femur models.

Main Results:

  • The semi-automatic method significantly reduced landmark extraction time by 2/3 to 3/4 compared to manual methods.
  • Maximum mean geometric error for target geometries (C5, R7, femur) was below 1 mm.
  • Mesh quality of the morphed FE models remained comparable to the baseline models.

Conclusions:

  • The developed semi-automatic landmark extraction method is effective for mesh morphing.
  • It substantially saves time in creating accurate parametric human FE models.
  • This approach offers a balance between speed and geometric accuracy in FE model development.