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

Three-dimensional velocity field reconstruction.

David Frakes1, Mark Smith, Diane de Zélicourt

  • 1Georgia Institute of Technology, Atlanta, GA 30332, USA.

Journal of Biomechanical Engineering
|March 31, 2005
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

Simulating physiological blood maintenance: A dialysis-integrated in vitro flow loop for realistic hemocompatibility evaluation of devices.

The International journal of artificial organs·2026
Same author

Biodegradable stents and occluders in CHD: current evidence, biomechanical constraints, and translational challenges.

Cardiology in the young·2026
Same author

In vivo imaging of central nervous system fluid spaces using synchrotron radiation-based micro computed tomography.

Nature communications·2026
Same author

Experimental Validation of Large Eddy Simulation as a Benchmark for Reynolds-Averaged Navier-Stokes Flow Modeling in a Magnetically Levitated Blood Pump.

Annals of biomedical engineering·2025
Same author

Mechanics Post-TAVR for Trileaflet vs Bicuspid Aortic Valves: Insights from Computational Simulation.

JACC. Advances·2025
Same author

Assessment of Guidewire-Induced Deviation in Fractional Flow Reserve: Impact of Lesion Morphology and Pressure Guidewire Malposition.

International journal for numerical methods in biomedical engineering·2025
Same journal

Computational Determination of Effective Working Length in Experimental Torsion Testing of Long Bones.

Journal of biomechanical engineering·2026
Same journal

Hierarchical Experimental Characterization of the Human Rib Cage for Nonlethal Projectile Impact Applications.

Journal of biomechanical engineering·2026
Same journal

An in vitro Experimental Model for Investigating Aortic Pressure Dynamics Under Blunt Thoracic Impacts.

Journal of biomechanical engineering·2026
Same journal

Editorial.

Journal of biomechanical engineering·2026
Same journal

Student Paper Competition of the 2025 ASME SB3C Summer Bioengineering Conference.

Journal of biomechanical engineering·2026
Same journal

Biomechanical Principles of Temporal Muscle Activation in Functional Movements: Implications for Stability and Movement Coordination.

Journal of biomechanical engineering·2026
See all related articles

Adaptive Control Grid Interpolation (ACGI) reconstructs missing magnetic resonance (MR) image data for improved velocity field analysis. This method enhances 3D in vivo velocity data for medical imaging applications.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Fluid Dynamics

Background:

  • Magnetic Resonance (MR) imaging often faces limitations in capturing complete data between slices due to hardware sampling constraints.
  • Accurate velocity field data is crucial for effective visualization and computational analysis in medical applications, particularly in cardiovascular research.

Purpose of the Study:

  • To develop and evaluate a novel method, Adaptive Control Grid Interpolation (ACGI), for reconstructing inter-slice MR image data.
  • To assess the efficacy of ACGI in reconstructing velocity fields from in vitro models of surgically corrected pediatric cardiac vasculatures.

Main Methods:

  • Acquisition of data using MRJ from in vitro models.
  • Application of the Adaptive Control Grid Interpolation (ACGI) technique for reconstructing missing inter-slice MR image information.

Related Experiment Videos

  • Comparison of reconstructed velocity fields with data obtained from other established acquisition techniques.

    • Main Results:

    • Reconstructed velocity fields demonstrated strong qualitative agreement with existing methods.
    • Quantitative analysis confirmed that ACGI produces data comparable in quality to accepted velocity data acquisition methods.
    • The ACGI method proved effective in generating comprehensive 3D in vivo velocity data.

    Conclusions:

    • ACGI is a viable and effective method for reconstructing inter-slice MR image data.
    • The reconstructed velocity fields are suitable for various applications requiring detailed 3D in vivo velocity information.
    • This technique holds promise for advancing cardiovascular imaging and analysis.