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

Computer-generated three-dimensional animation of the mitral valve.

Joseph H Dayan1, Aaron Oliker, Ram Sharony

  • 1Division of Cardiothoracic Surgery, Department of Surgery, New York University School of Medicine, NYU Medical Center, 530 First Avenue, New York, NY 10028, USA.

The Journal of Thoracic and Cardiovascular Surgery
|March 6, 2004
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same authorSame journal

Proteomic, Transcriptomic, and Metabolic Mediators of Post-Cardiopulmonary Bypass Vasoplegia Syndrome.

The Journal of thoracic and cardiovascular surgery·2026
Same author

Ten-year outcomes of valve-replacing versus valve-sparing aortic root replacement in patients with Marfan syndrome: An observational multicenter study.

The Journal of thoracic and cardiovascular surgery·2026
Same author

Current Incidence and Modality of Young Aortic Valve Replacement in the United States.

Circulation·2026
Same author

Long-term echocardiographic and clinical outcomes after aortic root replacement in patients with Marfan syndrome.

The Journal of thoracic and cardiovascular surgery·2026
Same author

Pushing the envelope: Routine operating room extubation in aortic surgery.

JTCVS open·2026
Same author

Coronary ostial plasty using femoral artery homograft following arterial switch operation.

JTCVS techniques·2026

This study transforms complex 3D mitral valve motion data into animated human models, improving visualization of valve function in disease states. This new technique aids understanding of mitral valve dysfunction and repair principles.

Area of Science:

  • Cardiovascular Mechanics
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Three-dimensional (3D) motion-capture data provide detailed insights into mitral valve mechanics during various pathologic conditions.
  • Interpreting and visualizing complex, time-varying 3D data from mitral valve motion studies can be challenging.
  • Existing techniques may not adequately represent the dynamic nature of mitral valve function in disease.

Purpose of the Study:

  • To develop a novel technique for transforming 3D ovine mitral valve motion data into an animated human model.
  • To create a dynamic, visual representation of the mitral apparatus that can simulate various pathologic states.
  • To enhance the interpretability and visualization of complex mitral valve dynamics.

Main Methods:

Related Experiment Videos

  • Utilized in vivo, high-speed, biplane cinefluoroscopic images of tagged ovine mitral apparatus under normal and pathologic conditions.
  • Processed serial 3D coordinates derived from image analysis.
  • Employed commercial animation and custom software to construct animated 3D models of the mitral annulus, leaflets, and subvalvular apparatus, overlaying motion data onto a human heart model for dynamic reconstruction.

    • Main Results:

    • Successfully converted numerical motion-capture data into animated 3D models of the mitral valve.
    • Demonstrated the ability to isolate specific structures by eliminating adjacent anatomy within the models.
    • Enabled viewing of normal and pathophysiologic dynamics of the mitral valve complex from any perspective.

    Conclusions:

    • The developed technique offers an intuitive and understandable visualization of the mitral apparatus's complex, time-varying motion.
    • This technology serves as a valuable tool for research and education in understanding mitral valve dysfunction.
    • Facilitates conceptualization of the principles underlying mitral valve repair through dynamic modeling.