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

Cardiac motion analysis using nonlinear biomechanical constraints.

Huafeng Liu1, Hongjie Hu, C L Ken Wong

  • 1State Key Laboratory of Modern Optical Instrumentation, State Key Laboratory of CAD&CG, Zhejiang University, China; Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Hong Kong.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
Summary
This summary is machine-generated.

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

Risk elements contamination in the riverbed sediments of the Xiangjiang River, China: a review.

Environmental monitoring and assessment·2026
Same author

Regional Biomechanical and Topographic Changes after Transepithelial vs. Epithelium-off Continuous Accelerated Corneal Cross-linking in Keratoconus: Updated Stress-Strain Index as a Superior Biomarker.

Ophthalmology science·2026
Same author

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same author

ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphism.

Medical image analysis·2026
Same author

On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution.

Advances in neural information processing systems·2026
Same author

Mitochondrial quality control in health and disease: Updates 2026.

Chinese medical journal·2026
Same journal

Highly Articulated Robotic Probe for Minimally Invasive Surgery.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2010
Same journal

Combined peripheral and cortical neural stimulation in motor neurorehabilitation.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2008
Same journal

Embedded assessment algorithms within home-based cognitive computer game exercises for elders.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2008
Same journal

Digital signal processing of the wideband external pulse recorded during cuff deflation: a new way to measure blood pressure.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2008
Same journal

Immune cells detection of the in vivo rejecting heart in USPIO-enhanced magnetic resonance imaging.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2008
Same journal

wHospital: a web-based application with digital signature for drugs dispensing management.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2007
See all related articles

This study introduces a new biomechanically constrained framework for estimating left ventricle deformation using realistic nonlinear models. This approach improves the quantitative assessment of cardiac motion and deformation for better diagnosis and treatment of heart conditions.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Mechanics

Background:

  • Quantitative assessment of heart motion and deformation is crucial for diagnosing and treating cardiac diseases.
  • Existing image-based methods often use physically implausible linear models.
  • There is a need for more realistic biomechanical models in cardiac image analysis.

Purpose of the Study:

  • To present a novel biomechanically constrained framework for estimating left ventricle deformation.
  • To utilize nonlinear geometry and material models for improved accuracy.
  • To enhance the understanding and diagnosis of cardiac diseases through better deformation analysis.

Main Methods:

  • Developed a framework using nonlinear geometry and material models for left ventricle deformation estimation.

Related Experiment Videos

  • Modeled the left ventricle as a Mooney-Rivlin material undergoing large deformation.
  • Employed an active region model for boundary detection and the Newmark scheme for motion/deformation parameter estimation.

    • Main Results:

    • Achieved frame-to-frame estimation of cardiac motion and deformation parameters.
    • Demonstrated encouraging results using 3D cardiac MR image sequences.
    • Validated the framework's potential for accurate quantitative assessment.

    Conclusions:

    • The proposed biomechanically constrained framework offers a more physically plausible approach to cardiac deformation analysis.
    • This method has significant potential for improving the diagnosis and treatment of cardiac diseases.
    • The use of nonlinear models enhances the accuracy of left ventricle motion and deformation quantification.