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

Compartment-specific host association and mobility shape ARG risk in aquaculture systems.

Journal of hazardous materials·2026
Same author

Effects of Replacing Oat Hay with Peanut Hull Depolymerization Product on Growth Performance, Serum Biochemical Parameters, and Rumen Fermentation in Holstein Dairy Bulls.

Animals : an open access journal from MDPI·2026
Same author

HMGB3 facilitates malignant phenotype of esophageal carcinoma via histone lactylation- and Wnt/β-catenin-dependent transcription activation of c-myc.

NPJ precision oncology·2026
Same author

Sustainable energy harvesting <i>via</i> a scalable Janus photonic metamaterial for thermoelectric generation.

Materials horizons·2026
Same author

Comparative Efficacy of Surgery Followed by Postoperative Radiotherapy/Chemoradiotherapy Versus Definitive Radiotherapy/Chemoradiotherapy Alone in Patients With Locally Advanced Laryngeal Cancer: Survival Outcomes and Prognostic Factors.

Ear, nose, & throat journal·2026
Same author

Porous Fe<sub>3</sub>O<sub>4</sub>@BC Coupled with an Electric Field Facilitates Nitrogen Retention During Composting.

Nanomaterials (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jul 22, 2025

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.2K

A Novel Spatial Position Prediction Navigation System Makes Surgery More Accurate.

Lin-Sen Zhang, Shi-Qi Liu, Xiao-Liang Xie

    IEEE Transactions on Medical Imaging
    |July 20, 2023
    PubMed
    Summary

    This study introduces a 3D spatial predictive positioning navigation (SPPN) technique for intravascular surgery. The novel method accurately predicts instrument tip location, enhancing surgical precision and accessibility.

    More Related Videos

    Dynamic Navigation for Dental Implant Placement
    05:42

    Dynamic Navigation for Dental Implant Placement

    Published on: September 13, 2022

    3.8K
    A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
    06:24

    A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

    Published on: May 11, 2020

    8.9K

    Related Experiment Videos

    Last Updated: Jul 22, 2025

    Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
    06:18

    Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

    Published on: May 24, 2024

    2.2K
    Dynamic Navigation for Dental Implant Placement
    05:42

    Dynamic Navigation for Dental Implant Placement

    Published on: September 13, 2022

    3.8K
    A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
    06:24

    A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

    Published on: May 11, 2020

    8.9K

    Area of Science:

    • Medical Imaging
    • Surgical Navigation
    • Robotics

    Background:

    • 3D surgical navigation systems improve intravascular interventional surgery by providing spatial information.
    • Challenges include complex registration due to vessel deformation and reliance on external sensors.

    Purpose of the Study:

    • To propose a novel 3D spatial predictive positioning navigation (SPPN) technique.
    • To predict the real-time tip position of surgical instruments during intravascular procedures.

    Main Methods:

    • A trajectory prediction algorithm with morphological constraints generates initial trajectories.
    • A hybrid physical model estimates trajectory energy and mechanics.
    • Point cloud clustering with multi-information fusion and an energy-weighted probability density function predict 3D spatial locations.

    Main Results:

    • The SPPN technique achieved a 98.2% achievement ratio.
    • Average positioning accuracy was less than 3 mm.
    • Experiments were conducted on 3D-printed vascular models using an electromagnetic tracking system.

    Conclusions:

    • This is the first 3D surgical navigation algorithm relying solely on vascular interventional robot sensors.
    • The method significantly improves interventional surgery accuracy.
    • It enhances accessibility for primary surgeons.