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Mathematical three-dimensional solid modeling of biventricular geometry

J S Pirolo1, S J Bresina, L L Creswell

  • 1Department of Surgery, Washington University, St. Louis, MO.

Annals of Biomedical Engineering
|May 1, 1993
PubMed
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Advanced computer-aided design and engineering (CAD/CAE) created accurate 3-D solid models of biventricular geometry. This method improves the characterization of regional myocardial stress distribution for better cardiac analysis.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Mechanics
  • Computational Anatomy

Background:

  • Characterizing regional myocardial stress distribution is limited by simplified mathematical models of heart geometry.
  • Advanced computer-aided design and engineering (CAD/CAE) offer precise geometric modeling capabilities.

Purpose of the Study:

  • To create an accurate 3-D solid model of the biventricular unit using CAD/CAE techniques.
  • To assess the accuracy of the solid model for representing myocardial geometry.
  • To evaluate the suitability of the model for finite element analysis.

Main Methods:

  • Utilized advanced CAD/CAE software to construct a 3-D solid model from planar geometric data of an ex vivo canine heart.
  • Performed volumetric analysis to determine global volume errors.

Related Experiment Videos

  • Calculated in-plane area and circumference errors.
  • Main Results:

    • Achieved low global volume errors for ventricular cavities, myocardial wall, and total enclosed volumes (ranging from -1.1% to 4.7%).
    • In-plane area and circumference determinations showed acceptable errors (5.3 +/- 6.7% and 3.8 +/- 2.7%, respectively).
    • Operator variability was identified as a potential source of model volume errors.

    Conclusions:

    • Solid modeling using CAD/CAE provides an accurate mathematical representation of biventricular geometry.
    • The developed solid model is suitable for meshing and finite element analysis.
    • This approach can enhance the characterization of regional myocardial stress distribution.