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

Extraction and quantification of left ventricular deformation modes.

Espen W Remme1, Alistair A Young, Kevin F Augenstein

  • 1Bioengineering Institute, University of Auckland, New Zealand. espen.remme@medisin.uio.no

IEEE Transactions on Bio-Medical Engineering
|November 13, 2004
PubMed
Summary

This study introduces a novel method to analyze left ventricle (LV) deformation, separating it into distinct modes like shortening and twisting. This technique effectively differentiates cardiac deformation patterns between healthy individuals and diabetes patients.

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

Potential and challenges of generative adversarial networks for super-resolution in 4D flow MRI.

Computers in biology and medicine·2026
Same author

Neural implicit heart coordinates: 3D cardiac shape reconstruction from sparse segmentations.

Medical image analysis·2026
Same author

Deep Learning for Temporal Super-Resolution 4D Flow MRI.

IEEE transactions on medical imaging·2026
Same author

Non-invasive pressure-volume analysis: a novel method for evaluating ventricular function in patients with aortic stenosis.

Frontiers in cardiovascular medicine·2026
Same author

Evaluation of diastolic function: machine learning improves classification of left ventricular filling pressure.

European heart journal. Cardiovascular Imaging·2026
Same author

Longitudinal trajectories of left ventricular myocardial remodeling: associations with cardiovascular risk factors in the multi-ethnic study of atherosclerosis.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2025

Area of Science:

  • Cardiovascular Imaging
  • Biomedical Engineering
  • Medical Physics

Background:

  • Left ventricle (LV) deformation analysis is crucial for diagnosing cardiac conditions.
  • Current methods may not fully capture the complexity of LV mechanics.
  • Differentiating normal from abnormal cardiac function requires precise quantification of deformation patterns.

Purpose of the Study:

  • To develop and validate a novel method for decomposing left ventricle (LV) deformation into distinct modes.
  • To quantify and discriminate between normal and abnormal LV deformation patterns.
  • To assess the utility of this method in distinguishing between healthy subjects and diabetes patients.

Main Methods:

  • Developed a method to decompose LV deformation (end diastole to end systole) into longitudinal shortening, wall thickening, and twisting modes.

Related Experiment Videos

  • Utilized a finite-element mesh fitted to cardiac magnetic resonance (MR) tagged images.
  • Calculated mode coefficients to quantify deformation and applied the method to 13 normal subjects and 13 diabetes patients.

    • Main Results:

    • The developed method achieved an average Euclidean distance of <1.7+/-0.9 mm between approximated and true end-systole meshes.
    • Diabetes patients exhibited significantly reduced longitudinal shortening and wall thickening compared to normal subjects.
    • Patients showed increased longitudinal twisting and septal bulging into the LV compared to controls.

    Conclusions:

    • The developed method successfully quantifies cardiac deformation into multiple modes.
    • This technique is capable of distinguishing abnormal deformation patterns in diabetes patients from those in normal subjects.
    • The method provides a valuable tool for quantitative assessment of cardiac mechanics.