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

You might also read

Related Articles

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

Sort by
Same author

Aortic stiffening after thoracic aortic stent grafting: A multi-patient specific computational study.

Computer methods and programs in biomedicine·2026
Same author

High-Frequency wall vibration correlates with growth of a vertebrobasilar dolichoectatic Aneurysm: A case study.

Journal of biomechanics·2026
Same author

Unraveling the fluid mechanical mechanisms of sound production in pulsatile tinnitus using high-fidelity CFD.

Biomechanics and modeling in mechanobiology·2026
Same author

Updating aims and scope of IJAO: Artificial organs, medical technology and biomedical engineering.

The International journal of artificial organs·2026
Same author

Aortic Valve Phenotype Shapes Helical Flow in the Ascending Aorta: Insights from 4D Flow MRI.

Annals of biomedical engineering·2026
Same author

Heightened Risk of Myocardial Ischemia With Mental Stress Among Black Women Survivors of a Myocardial Infarction in Midlife.

Journal of the American Heart Association·2026
Same journal

Robot-assisted laser osteotomy system based on dose-effect model-guided feedforward control.

Medical & biological engineering & computing·2026
Same journal

A randomized multi-window 3D deep learning approach for intracranial hemorrhage detection on non-contrast head CT.

Medical & biological engineering & computing·2026
Same journal

A novel SE-ResNet architecture for continuous estimation of wrist and hand movements from HD-sEMG.

Medical & biological engineering & computing·2026
Same journal

Anti-aliasing-enhanced WaveUNet for clinically reliable 12-lead ECG reconstruction from limited 3-lead input.

Medical & biological engineering & computing·2026
Same journal

Deep multi-modal features based spatio-temporal video regression for non-invasive hemoglobin estimation.

Medical & biological engineering & computing·2026
Same journal

Reduced mechanical strength correlates with decreased elastin content in aortic intima-media tissue: association with dissection in human ascending aortas.

Medical & biological engineering & computing·2026
See all related articles

Related Experiment Video

Updated: Jun 28, 2026

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

An image-based modeling framework for patient-specific computational hemodynamics.

Luca Antiga1, Marina Piccinelli, Lorenzo Botti

  • 1Biomedical Engineering Department, Mario Negri Institute for Pharmacological Research, Villa Camozzi, Ranica, BG, Italy. antiga@marionegri.it

Medical & Biological Engineering & Computing
|November 13, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an automated framework for patient-specific computational hemodynamics, enabling large-scale studies. The Vascular Modeling Toolkit facilitates sharing tools for evidence-based cardiovascular medicine.

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

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom
06:26

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom

Published on: February 25, 2022

Related Experiment Videos

Last Updated: Jun 28, 2026

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

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

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom
06:26

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom

Published on: February 25, 2022

Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Medical Imaging

Background:

  • Patient-specific computational hemodynamics is crucial for understanding cardiovascular diseases.
  • Current methods often lack full automation, limiting large-scale application.
  • Integrating image processing, geometric analysis, and mesh generation is key.

Purpose of the Study:

  • To present an automated modeling framework for patient-specific computational hemodynamics.
  • To facilitate large-scale studies in cardiovascular research.
  • To promote the sharing of tools and data for evidence-based medicine.

Main Methods:

  • Utilized implicit deformable models for image segmentation with novel vascular branch initialization.
  • Employed a strategy for segmenting small vessels.
  • Developed robust centerline definitions for automated surface editing and mesh generation.

Main Results:

  • Achieved full automation and high-level interaction in the modeling framework.
  • Demonstrated effective segmentation of vascular structures, including small vessels.
  • Enabled objective geometric criteria for automated mesh generation.

Conclusions:

  • The developed framework supports patient-specific computational hemodynamics in large-scale studies.
  • The open-source Vascular Modeling Toolkit is a significant step towards data and tool sharing.
  • This advancement is vital for integrating computational hemodynamics into evidence-based cardiovascular medicine.