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 Video

Updated: May 18, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Subject-specific aortic wall shear stress estimations using semi-automatic segmentation.

J Renner1, H Nadali Najafabadi, D Modin

  • 1Department of Mechanical Engineering, Linköping University, Linköping, Sweden. johan.renner@liu.se

Clinical Physiology and Functional Imaging
|October 4, 2012
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

A journey to ITACA: Ion Tracking with Ammonium Cations Apparatus.

The European physical journal. C, Particles and fields·2026
Same author

Concomitant Enhancement of the Reorientational Dynamics of the BH<sub>4</sub> <sup>-</sup> Anions and Mg<sup>2+</sup> Ionic Conductivity in Mg(BH<sub>4</sub>)<sub>2</sub>·NH<sub>3</sub> upon Ligand Incorporation.

The journal of physical chemistry. C, Nanomaterials and interfaces·2026
Same author

Barium ion sensing with IPG K<sup>+</sup> molecular probes.

The Analyst·2025
Same author

Danish and Swedish National Data Collections for Cancer - Solutions for Radiotherapy.

Clinical oncology (Royal College of Radiologists (Great Britain))·2024
Same author

[Intraoperative clinical application of hemodynamic monitoring in noncardiac surgery patients].

Die Anaesthesiologie·2024
Same author

Demonstration of event position reconstruction based on diffusion in the NEXT-white detector.

The European physical journal. C, Particles and fields·2024

A semi-automatic segmentation method accurately estimates wall shear stress (WSS) in the aorta using magnetic resonance imaging and computational fluid dynamics. This approach is reliable for future in-vivo human studies.

Area of Science:

  • Cardiovascular Imaging and Fluid Dynamics
  • Biomedical Engineering
  • Medical Physics

Background:

  • Atherosclerosis development is linked to hemodynamic forces like wall shear stress (WSS).
  • Image-based computational fluid dynamics (CFD) combined with magnetic resonance imaging (MRI) is a key tool for in-vivo WSS estimation.
  • Accurate 3D model segmentation from medical images is crucial for reliable CFD analysis.

Purpose of the Study:

  • To compare the influence of manual versus semi-automatic segmentation methods on WSS distribution in the human aorta.
  • To validate the use of semi-automatic segmentation as a reliable alternative to manual segmentation for WSS estimation.

Main Methods:

  • MRI data from eight healthy male volunteers were used to create 3D aorta models.

More Related Videos

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

Related Experiment Videos

Last Updated: May 18, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

  • Two segmentation approaches, manual (reference) and semi-automatic, were employed.
  • CFD simulations were performed on the segmented models to calculate WSS.

    • Main Results:

    • Both segmentation methods produced highly similar geometrical depictions of the aorta.
    • A strong agreement was observed in the resulting WSS distribution between the two methods (correlation coefficient of 0.96 at peak systole).
    • Slightly larger differences in WSS were noted during late systole and early diastole, indicating higher sensitivity to local geometry at these time points.

    Conclusions:

    • Semi-automatic segmentation provides a reliable and efficient method for estimating aortic WSS.
    • This method can be utilized in future research for in-vivo human studies of hemodynamics and atherosclerosis.
    • The findings support the integration of semi-automatic segmentation in clinical WSS assessment workflows.