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

Fast algorithm for 3-D vascular tree modeling.

Marek Kretowski1, Yan Rolland, Johanne Bézy-Wendling

  • 1Laboratoire Traitement du Signal et de l'Image, INSERM EMI 9934, Université de Rennes 1, Campus de Beaulieu, 35042 Rennes Cedex, France.

Computer Methods and Programs in Biomedicine
|January 1, 2003
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

Multi-granularity Adversarial Generation Integrated Consistency Representation for Chest Low-Contrast-Enhanced CT Synthesis.

IEEE transactions on medical imaging·2026
Same author

SkeDiff: Skeleton 3D CT Diffusion Reconstruction using 2D X-ray.

IEEE journal of biomedical and health informatics·2026
Same author

USRMamba: Adaptive Routing-Guided State Space Model for Ultrasound Super-Resolution.

IEEE journal of biomedical and health informatics·2026
Same author

Machine learning models classifiers enable a strong prediction of radioembolization-induced liver disease, and define a new bilirubin threshold for selection of patients.

European journal of nuclear medicine and molecular imaging·2026
Same author

Radioenhancing Hafnium Oxide Nanoparticles (NBTXR3) Followed by Stereotactic Body Radiation Therapy in Patients With Hepatocellular Carcinoma and Liver Metastases (NBTXR3-103): Phase 1 Dose-Escalation Trial.

Advances in radiation oncology·2025
Same author

EDG-Net: Encryption and Decryption based Gan-attention Network for CT images in the Internet of Medical Things and Telemedicine.

IEEE journal of biomedical and health informatics·2025
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
Same journal

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations.

Computer methods and programs in biomedicine·2026
See all related articles

This study introduces faster computer simulations for vascular tree development, optimizing vessel geometry and blood flow dynamics. These advancements enable the simulation of more complex vascular structures efficiently.

Area of Science:

  • Computational biology
  • Biomedical engineering
  • Physiology

Background:

  • Vascular tree development is complex, involving intricate geometrical and physiological factors.
  • Accurate simulation of vascular networks is crucial for understanding blood flow and disease.
  • Previous simulation methods were computationally intensive, limiting the complexity of structures that could be modeled.

Purpose of the Study:

  • To develop accelerated three-dimensional (3D) computer simulation schemes for vascular tree development.
  • To preserve key physiological and hemodynamic features during simulation.
  • To improve the efficiency of vascular network modeling.

Main Methods:

  • Implemented new computation schemes for geometrical optimization of vascular bifurcations.

Related Experiment Videos

  • Developed algorithms for recalculating blood pressures and vessel radii throughout the entire vascular tree.
  • Utilized a fast updating algorithm to replace global optimization, significantly reducing computation time.

    • Main Results:

    • Achieved a significant decrease in computation time for vascular tree simulations.
    • Enabled the simulation of more complex vascular structures due to increased efficiency.
    • Demonstrated the efficacy of the new algorithms through a comparison with previous methods using the hepatic arterial tree.

    Conclusions:

    • The new accelerated simulation schemes enhance the efficiency of modeling vascular tree development.
    • These methods allow for the simulation of more complex vascular networks while maintaining physiological accuracy.
    • The optimized algorithms represent a significant advancement in computational modeling of biological vascular systems.