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

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.0K
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
1.0K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

839
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
839
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

1.6K
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
1.6K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

751
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
751
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

975
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
975
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

1.4K
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues.

Journal of imaging·2025
Same author

Anisotropic regularization for sparsely sampled and noise-robust Fourier ptychography.

Optics express·2024
Same author

Artificial Intelligence for Classifying the Relationship between Impacted Third Molar and Mandibular Canal on Panoramic Radiographs.

Life (Basel, Switzerland)·2023
Same author

An Overview of In Vitro Assays of <sup>64</sup>Cu-, <sup>68</sup>Ga-, <sup>125</sup>I-, and <sup>99m</sup>Tc-Labelled Radiopharmaceuticals Using Radiometric Counters in the Era of Radiotheranostics.

Diagnostics (Basel, Switzerland)·2023
Same author

Anti-Arthritic and Anti-Cancer Activities of Polyphenols: A Review of the Most Recent In Vitro Assays.

Life (Basel, Switzerland)·2023
Same author

Vesalius: high-resolution in silico anatomization of spatial transcriptomic data using image analysis.

Molecular systems biology·2022
Same journal

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

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

Generalised Medical Phrase Grounding.

IEEE transactions on medical imaging·2026
Same journal

EndoLRMGS: Combining Large Reconstruction Modelling and Gaussian Splatting for Complete Endoscopic Scene Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

A Neural-Analytical Fusion Scatter Correction Method for Multi-Source CT Using Equivalent High-Order Scatter.

IEEE transactions on medical imaging·2026
See all related articles

Related Experiment Video

Updated: Apr 29, 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

14.1K

Tracking using motion estimation with physically motivated inter-region constraints.

Omar Arif, Ganesh Sundaramoorthi, Byung-Woo Hong

    IEEE Transactions on Medical Imaging
    |May 22, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel motion estimation method for cardiac image analysis. The technique improves the accuracy of tracking heart structures like ventricles and myocardium, enhancing segmentation predictions.

    More Related Videos

    Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
    06:09

    Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

    Published on: March 12, 2021

    3.2K
    Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
    09:41

    Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

    Published on: April 21, 2023

    2.8K

    Related Experiment Videos

    Last Updated: Apr 29, 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

    14.1K
    Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
    06:09

    Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

    Published on: March 12, 2021

    3.2K
    Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
    09:41

    Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

    Published on: April 21, 2023

    2.8K

    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Computational Anatomy

    Background:

    • Accurate tracking of cardiac structures is crucial for diagnosing heart conditions.
    • Existing methods for cardiac image segmentation often lack physical realism, leading to inaccuracies.
    • Interactive segmentation is widely used in clinical practice for cardiac analysis.

    Purpose of the Study:

    • To develop a physically motivated motion estimation scheme for tracking cardiac structures.
    • To improve the accuracy of segmentation propagation in cardiac magnetic resonance imaging.
    • To enhance the performance of interactive cardiac segmentation tools.

    Main Methods:

    • Proposed a novel motion estimation scheme that regularizes within structures to prevent mixing of different motions.
    • Incorporated physical constraints at fluid-medium interfaces, including normal component matching and the No-Slip condition.
    • Derived partial differential equations with Robin boundary conditions to couple motion between structures.

    Main Results:

    • The proposed method demonstrated more accurate segmentation compared to traditional motion estimation techniques.
    • Segmentation propagation using the new scheme yielded superior predictions over a popular existing interactive method.
    • The method effectively handles differing motions within distinct cardiac structures.

    Conclusions:

    • The physically motivated motion estimation scheme offers improved accuracy for cardiac image segmentation.
    • This approach enhances the reliability of segmentation propagation in interactive cardiac analysis.
    • The method shows significant potential for clinical applications in cardiac imaging and analysis.