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 Concept Videos

Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...

You might also read

Related Articles

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

Sort by
Same author

Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image analysis·2026
Same author

DSHARP: Deep Incompressible Motion Estimation with Sinusoidal-transformed Harmonic Phase for Tagged MRI.

IEEE transactions on medical imaging·2026
Same author

A Severity-Agnostic Atrophy Pattern in Spinocerebellar Ataxia Type 3: Volumetrics from ENIGMA-Ataxia.

Movement disorders : official journal of the Movement Disorder Society·2026
Same author

Proteomic Age Acceleration in Multiple Sclerosis Precedes Symptom Onset and Associates with Severity.

medRxiv : the preprint server for health sciences·2026
Same author

Late Triggering in Tagged Magnetic Resonance Imaging for in vivo Characterization of Brain Biomechanics During Head Rotation.

Journal of biomechanical engineering·2026
Same author

A speech-to-video synthesis approach using spatio-temporal diffusion for vocal tract MRI.

Medical image analysis·2026
Same journal

Wavelet-inspired diffusion model with near-field constraint for real-time echocardiography dehazing.

Medical image analysis·2026
Same journal

Co-assistant networks by pathology foundation model and convolutional neural network for gigapixel whole slide image analysis.

Medical image analysis·2026
Same journal

MBAS2024: A large-scale benchmark for multi-class bi-atrial segmentation in multi-center contrast-enhanced MRIs.

Medical image analysis·2026
Same journal

Respiratory motion augmentation for personalized super-resolution (RMApSR) of 3D cine MR images in MRI-guided radiotherapy.

Medical image analysis·2026
Same journal

Biom3d, a modular framework to host and develop 3D segmentation methods.

Medical image analysis·2026
Same journal

Embracing intra-class heterogeneity for semi-supervised medical image segmentation: From diversity to precision.

Medical image analysis·2026
See all related articles

Related Experiment Video

Updated: Jul 4, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

Direct three-dimensional myocardial strain tensor quantification and tracking using zHARP.

Khaled Z Abd-Elmoniem1, Matthias Stuber, Jerry L Prince

  • 1Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA. khaled@jhu.edu

Medical Image Analysis
|May 31, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for calculating 3D cardiac strain using fewer magnetic resonance (MR) images. This approach reduces scan times and improves accuracy for diagnosing heart conditions.

More Related Videos

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
09:05

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Published on: October 20, 2016

High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart
11:50

High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart

Published on: July 9, 2010

Related Experiment Videos

Last Updated: Jul 4, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
09:05

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Published on: October 20, 2016

High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart
11:50

High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart

Published on: July 9, 2010

Area of Science:

  • Cardiovascular imaging
  • Biomedical engineering
  • Medical physics

Background:

  • Three-dimensional (3D) myocardial strain analysis is crucial for diagnosing cardiac diseases and understanding heart function.
  • Current methods using multiple magnetic resonance (MR) image orientations are limited by long scan times, image misregistration, and motion artifacts.

Purpose of the Study:

  • To present a novel method for calculating 3D cardiac strain using a single image orientation.
  • To overcome limitations of conventional multi-planar 3D strain quantification.

Main Methods:

  • Utilized the zHARP pulse sequence to encode both in-plane and out-of-plane motion within MR images.
  • Combined data from two adjacent image planes to compute the 3D strain tensor at each pixel.
  • Validated the method in vitro using a phantom and in vivo on four healthy subjects.

Main Results:

  • Successfully calculated 3D strain tensors from a stack of images acquired in a single orientation.
  • Demonstrated the method's performance and accuracy in both phantom and human subject studies.
  • Eliminated the need for multiple imaging orientations and numerical interpolation.

Conclusions:

  • The novel zHARP-based method enables efficient and accurate 3D cardiac strain calculation.
  • This technique offers a promising alternative for clinical applications, reducing scan time and improving diagnostic capabilities.
  • Further research can explore its application in various cardiac pathologies.