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

Analytical guide wire motion algorithm for simulation of endovascular interventions.

M K Konings1, E B van de Kraats, T Alderliesten

  • 1Department of Medical Technology & Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands. m.konings@azu.nl

Medical & Biological Engineering & Computing
|December 23, 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

Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early-onset fetal growth restriction.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2026
Same author

Bilateral Transcranial Doppler Monitoring During Neonatal Cardiac Surgery; Guidance for Clinical and Scientific Use.

Paediatric anaesthesia·2025
Same author

Fetal brain development in fetal growth restriction using MRI: a systematic review.

BMC pregnancy and childbirth·2025
Same author

Multi-center external validation of an automated method segmenting and differentiating atypical lipomatous tumors from lipomas using radiomics and deep-learning on MRI.

EClinicalMedicine·2024
Same author

Introduction of ultra-high-field MR brain imaging in infants: vital parameters, temperature and comfort.

Neuroimage. Reports·2024
Same author

Association between prenatal alcohol exposure and children's facial shape: a prospective population-based cohort study.

Human reproduction (Oxford, England)·2023
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
Same journal

How plaque morphology and stenosis severity govern stent-artery interaction and deployment outcomes: a computational study.

Medical & biological engineering & computing·2026
Same journal

Investigating a relation between amyloid beta plaque burden and accumulated neurotoxicity caused by amyloid beta oligomers.

Medical & biological engineering & computing·2026
Same journal

A robot-assisted eye positioning method with high precision and repeatability for ocular particle therapy: mechanical and geometric assessment.

Medical & biological engineering & computing·2026
Same journal

Enhanced puncture event detection for teleoperated needle insertion robotic system.

Medical & biological engineering & computing·2026
Same journal

Energy-efficient real-time 4-stage sleep classification at 10-second resolution.

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

A new computer simulation algorithm accurately models guide wire motion during minimally invasive vascular interventions. This realistic and fast simulation, based on elementary physics, enhances training for interventional procedures.

Area of Science:

  • Medical simulation
  • Biomedical engineering
  • Interventional radiology

Background:

  • Minimally invasive vascular interventions necessitate specialized training for manipulating guide wires under fluoroscopic guidance.
  • Existing training methods lack realistic simulation of guide wire dynamics within the vasculature.

Purpose of the Study:

  • To develop a realistic and fast computer simulation algorithm for guide wire motion.
  • To provide an effective training environment for vascular interventions.

Main Methods:

  • Derived an analytical solution for guide wire motion using a novel shape parametrization.
  • Developed a generic algorithm based on fundamental physics principles.
  • Validated the algorithm through experimental testing in planar and 3D phantom models.

Related Experiment Videos

Main Results:

  • The algorithm demonstrated good convergence properties, achieving 22-micron accuracy after two iterations.
  • Experimental validation showed a Root Mean Square spatial discrepancy of approximately 10% of the lumen size.
  • Comparison with 3D rotational angiography confirmed the realistic simulation of guide wire movement in cerebral vasculature phantoms.

Conclusions:

  • The developed algorithm provides a realistic and computationally efficient simulation of guide wire motion.
  • This simulation tool can significantly enhance training for minimally invasive vascular interventions.