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 15, 2026

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

An augmented reality haptic training simulator for spinal needle procedures.

Colin Sutherland, Keyvan Hashtrudi-Zaad, Rick Sellens

    IEEE Transactions on Bio-Medical Engineering
    |December 28, 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

    EchoAgent: guideline-centric reasoning agent for echocardiography measurement and interpretation.

    International journal of computer assisted radiology and surgery·2026
    Same author

    Point tracking as a temporal Cue for robust myocardial segmentation in echocardiography videos.

    International journal of computer assisted radiology and surgery·2026
    Same author

    Reducing robotic upper-limb assessment time while maintaining precision: a time series foundation model approach.

    Journal of neuroengineering and rehabilitation·2026
    Same author

    TREAT-Netv2: regional wall motion-informed video-tabular fusion for ACS treatment prediction.

    International journal of computer assisted radiology and surgery·2026
    Same author

    Optimizing point-of-care ultrasound video acquisition for probabilistic multi-task heart failure detection.

    International journal of computer assisted radiology and surgery·2026
    Same author

    Shift happens: a fairness-oriented framework for medical classification under hidden bias.

    International journal of computer assisted radiology and surgery·2026
    Same journal

    Enhancing Volumetric Imaging in Linear-Array Photoacoustic Tomography: multiview fusion with deep learning.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    Robust Rule-based Heuristic Assistance Strategy for a Semi-Active Shoulder Exoskeleton Used in Overhead Work.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    Systematic Evaluation of Hip Exoskeleton Assistance Parameters for Enhancing Gait Stability During Ground Slip Perturbations.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

    IEEE transactions on bio-medical engineering·2026
    See all related articles

    This study introduces an augmented reality haptic simulation system for training spinal needle insertions. The system provides realistic force feedback, enabling safe and accessible medical training.

    Area of Science:

    • Medical Simulation
    • Augmented Reality
    • Haptics

    Background:

    • Spinal needle insertion training traditionally requires cadavers or live patients.
    • Existing simulation methods may lack realistic tactile feedback.
    • There is a need for accessible, safe, and effective training tools.

    Purpose of the Study:

    • To present a prototype for an augmented reality (AR) haptic simulation system.
    • To evaluate the system's potential for spinal needle insertion training.
    • To offer a training solution independent of live patients or cadavers.

    Main Methods:

    • The system integrates a torso mannequin, optical tracking, a haptic device, and a graphical user interface.
    • Augmented reality overlays patient anatomy onto the physical mannequin.

    More Related Videos

    Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
    07:46

    Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

    Published on: August 9, 2024

    Visualizing Motion Patterns in Acupuncture Manipulation
    08:18

    Visualizing Motion Patterns in Acupuncture Manipulation

    Published on: July 16, 2016

    Related Experiment Videos

    Last Updated: May 15, 2026

    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

    Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
    07:46

    Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

    Published on: August 9, 2024

    Visualizing Motion Patterns in Acupuncture Manipulation
    08:18

    Visualizing Motion Patterns in Acupuncture Manipulation

    Published on: July 16, 2016

  • A finite-element model simulates tissue resistance during needle insertion.
  • Main Results:

    • The prototype successfully integrates AR and haptic feedback for simulated needle insertion.
    • Pilot user study indicated the system's potential and functionality.
    • The system demonstrated the feasibility of training without direct supervision or cadavers.

    Conclusions:

    • The developed AR haptic simulation system shows promise for spinal needle insertion training.
    • This technology can enhance procedural skills in a safe, controlled environment.
    • Further development could expand its application to other medical procedures.