Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Generation of an anatomically based geometric coronary model.

N P Smith1, A J Pullan, P J Hunter

  • 1Department of Engineering Science, University of Auckland, New Zealand. np.smith@auckland.ac.nz

Annals of Biomedical Engineering
|January 25, 2000
PubMed
Summary

A new finite element model accurately represents the coronary arterial network, crucial for understanding heart function. This anatomical model ensures realistic vessel distribution within the heart

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Biomedical Imaging.

Yearbook of medical informatics·2016
Same author

A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2016
Same author

Foreword to the special issue on Bone and cartilage mechanobiology across the scales.

Biomechanics and modeling in mechanobiology·2016
Same author

Hypokalaemia induces Ca²⁺ overload and Ca²⁺ waves in ventricular myocytes by reducing Na⁺,K⁺-ATPase α₂ activity.

The Journal of physiology·2015
Same author

Towards a fast and efficient approach for modelling the patient-specific ventricular haemodynamics.

Progress in biophysics and molecular biology·2014
Same author

A spatially-distributed computational model to quantify behaviour of contrast agents in MR perfusion imaging.

Medical image analysis·2014

Area of Science:

  • Computational biology
  • Biomedical engineering
  • Cardiovascular research

Background:

  • Accurate modeling of the coronary arterial network is essential for understanding cardiac function and disease.
  • Existing models often lack detailed anatomical accuracy or comprehensive representation of multiple arterial generations.

Purpose of the Study:

  • To develop a discrete, anatomically accurate finite element model of the six largest generations of the coronary arterial network.
  • To integrate this coronary model with an existing ventricular geometry model for comprehensive cardiac simulation.

Main Methods:

  • Developed a finite element model of the coronary arterial network based on measured epicardial coronaries.
  • Generated network topology stochastically using published anatomical data.

Related Experiment Videos

  • Incorporated spatial information using an avoidance algorithm for realistic vessel placement and branching.

    • Main Results:

    • The model accurately represents vessel lengths, radii, and connectivity consistent with published data.
    • Achieved a relatively even spatial distribution of coronary vessels within the ventricular mesh.
    • Calculated local finite element coordinates for coronary nodes within the ventricular mesh.

    Conclusions:

    • The developed finite element model provides an anatomically accurate representation of the coronary arterial network.
    • This model facilitates the recalculation of coronary geometry within a deformed ventricular mesh, enabling dynamic simulations.
    • The methodology enables the creation of patient-specific cardiac models for research and clinical applications.