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

Endoscopic navigation for minimally invasive suturing.

Christian Wengert1, Lukas Bossard, Armin Häberling

  • 1Computer Vision Laboratory, ETH Zurich, 8092 Zurich, Switzerland. wengert@vision.ee.ethz.ch

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|November 30, 2007
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

Development of a predictive model for postoperative body mass index and diabetes outcomes after metabolic bariatric surgery: retrospective cohort study.

BJS open·2026
Same author

Virtual Treatment for radiotherapy: Multimodal generative prediction of longitudinal NSCLC tumor progression.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Cold induced pain elicits reproducible breath metabolomic responses across geographically distinct populations.

iScience·2026
Same author

Erratum: Ultrasound-driven 4D MRI (2018<i>Phys. Med. Biol</i>.<b>63</b>145015).

Physics in medicine and biology·2026
Same author

Influence of laser beam intensity profile on deep bone ablation in laser osteotomy.

Scientific reports·2026
Same author

Soft Tissue Simulation and Force Estimation From Heterogeneous Structures Using Equivariant Graph Neural Networks.

Healthcare technology letters·2025
Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

This study introduces a method for tracking suturing needles during minimally invasive surgery using endoscopy. This approach enhances 3D visualization, aiding surgeons in tissue suturing and improving surgical precision.

Area of Science:

  • Medical Imaging
  • Surgical Technology
  • Robotics

Background:

  • Minimally invasive surgery (MIS) presents challenges for surgeons due to the loss of 3D depth perception when manipulating small objects like needles.
  • Standard endoscopic views provide only 2D information, hindering precise instrument control and tissue manipulation.

Purpose of the Study:

  • To develop an approach for tracking suturing needles using standard endoscopic video.
  • To generate artificial 3D cues on a 2D screen to assist surgeons during tissue suturing.
  • To investigate hybrid tracking methods for enhanced accuracy and potential integration with visual navigation aids.

Main Methods:

  • Real-time tracking of a suturing needle from standard endoscopic video feed.
  • Generation of artificial 3D visual cues based on the needle's pose information.

Related Experiment Videos

  • Integration with an external tracking device for hybrid needle tracking with sub-millimeter accuracy.
  • Optional incorporation of a visual navigation aid using intraoperatively reconstructed or preoperatively registered 3D surfaces.
  • Main Results:

    • The proposed method enables accurate pose estimation of the suturing needle.
    • Artificial 3D cues are generated to improve the surgeon's perception of depth and instrument orientation.
    • Hybrid tracking achieves sub-millimeter accuracy when an external endoscope tracker is used.
    • The system demonstrates potential for enhanced surgical guidance and navigation.

    Conclusions:

    • Endoscopic needle tracking with artificial 3D cues can significantly support surgeons in MIS, particularly during suturing tasks.
    • Hybrid tracking offers a path towards highly accurate instrument localization in complex surgical environments.
    • The integration of visual navigation aids further enhances the utility of this system for improved surgical outcomes.