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

A Framework to Optimize Channel and Active Area Usage in Multicore Fibers for Needle Shape Sensing.

Journal of medical robotics research·2026
Same author

Towards Robot-Assisted MRI-Guided Lumbar Injections.

... International Symposium on Medical Robotics. International Symposium on Medical Robotics·2026
Same author

A Pneumatically Actuated Robotic Assistant for MRI-Guided Stereotactic Neurosurgery.

IEEE transactions on medical robotics and bionics·2026
Same author

Dissipativity-Based Output Feedback Control of Networked Sampled-Data Systems Under Actuator Failures and Consecutive DoS Attacks.

IEEE transactions on cybernetics·2026
Same author

Accurate proteome-wide prediction of enzymes and catalytic sites using graph deep learning and protein language model.

GigaScience·2026
Same author

Concentric Tube Robot-Assisted Intracerebral Hemorrhage Evacuation: Validation in an Ovine Model.

IEEE transactions on medical robotics and bionics·2026
Same journal

Using Robotics to Improve Transcatheter Edge-to-Edge Repair of the Mitral Valve.

IEEE robotics and automation letters·2026
Same journal

Value Explicit Pretraining for Learning Transferable Representations.

IEEE robotics and automation letters·2026
Same journal

Continuum Robot Segments with High Output Stiffness via Diagonal Backbones.

IEEE robotics and automation letters·2026
Same journal

Friction Modeling of Tendon-driven Continuum Robots through Linear Complementarity Problem.

IEEE robotics and automation letters·2026
Same journal

Efficient and Scalable Tuning of Continuous Impedance Control for Powered Knee Prostheses.

IEEE robotics and automation letters·2026
Same journal

Validation of Dynamic Bayesian Optimization for a Non-Stationary Human-in-the-Loop Optimization Problem.

IEEE robotics and automation letters·2026
See all related articles

Related Experiment Video

Updated: Jul 18, 2025

Surgical Technique for Spinal Cord Delivery of Therapies: Demonstration of Procedure in Gottingen Minipigs
09:23

Surgical Technique for Spinal Cord Delivery of Therapies: Demonstration of Procedure in Gottingen Minipigs

Published on: December 7, 2012

15.3K

Flexible Needle Bending Model for Spinal Injection Procedures.

Yanzhou Wang1, Ka-Wai Kwok2, Kevin Cleary3

  • 1Department of Mechanical Engineering and Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland, USA.

IEEE Robotics and Automation Letters
|August 28, 2023
PubMed
Summary
This summary is machine-generated.

Physicians

Keywords:
Medical Robots and SystemsSurgical Robotics: Steerable Catheters/Needles

More Related Videos

Intraspinal Cell Transplantation for Targeting Cervical Ventral Horn in Amyotrophic Lateral Sclerosis and Traumatic Spinal Cord Injury
10:49

Intraspinal Cell Transplantation for Targeting Cervical Ventral Horn in Amyotrophic Lateral Sclerosis and Traumatic Spinal Cord Injury

Published on: September 18, 2011

20.7K
Author Spotlight: Improving Percutaneous Vertebroplasty Surgical Accuracy and Efficiency Through Advanced Puncture Techniques
09:29

Author Spotlight: Improving Percutaneous Vertebroplasty Surgical Accuracy and Efficiency Through Advanced Puncture Techniques

Published on: August 9, 2024

283

Related Experiment Videos

Last Updated: Jul 18, 2025

Surgical Technique for Spinal Cord Delivery of Therapies: Demonstration of Procedure in Gottingen Minipigs
09:23

Surgical Technique for Spinal Cord Delivery of Therapies: Demonstration of Procedure in Gottingen Minipigs

Published on: December 7, 2012

15.3K
Intraspinal Cell Transplantation for Targeting Cervical Ventral Horn in Amyotrophic Lateral Sclerosis and Traumatic Spinal Cord Injury
10:49

Intraspinal Cell Transplantation for Targeting Cervical Ventral Horn in Amyotrophic Lateral Sclerosis and Traumatic Spinal Cord Injury

Published on: September 18, 2011

20.7K
Author Spotlight: Improving Percutaneous Vertebroplasty Surgical Accuracy and Efficiency Through Advanced Puncture Techniques
09:29

Author Spotlight: Improving Percutaneous Vertebroplasty Surgical Accuracy and Efficiency Through Advanced Puncture Techniques

Published on: August 9, 2024

283

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Mechanics

Background:

  • Spinal injections require precise needle placement.
  • Needle manipulation during procedures can alter needle shape and position.
  • Accurate modeling is needed to predict these changes.

Purpose of the Study:

  • To develop and validate a mechanics-based model for in situ needle manipulation during spinal injections.
  • To investigate the impact of needle-tissue interaction on needle shape and tip position.
  • To assess the accuracy of the model in predicting needle behavior.

Main Methods:

  • A mechanics-based model was developed and solved using the finite element method.
  • A test setup was created to simulate needle manipulation in tissue phantoms and porcine muscle.
  • Model predictions were validated against medical images.

Main Results:

  • The model accurately predicted needle tip position within submillimeter accuracy when using appropriate compression models and parameters.
  • Needle-tissue interaction effects on the needle's remote center of motion were examined.
  • The study identified key parameters influencing model accuracy.

Conclusions:

  • The validated model can accurately predict needle tip position during spinal injections.
  • This computational tool can aid in understanding and optimizing needle manipulation techniques.
  • Improved prediction of needle behavior can enhance procedural safety and efficacy.