Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jul 16, 2026

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Simultaneous stereoscope localization and soft-tissue mapping for minimal invasive surgery.

Peter Mountney¹, Danail Stoyanov, Andrew Davison

¹Royal Society/Wolfson Foundation Medical Image Computing Laboratory, Imperial College, London SW7 2BZ, UK. peter.mountney@imperial.ac.uk

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

|March 16, 2007

Summary

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

EndoLRMGS: Combining Large Reconstruction Modelling and Gaussian Splatting for Complete Endoscopic Scene Reconstruction.

IEEE transactions on medical imaging·2026

Same author

Robust quantification of ICG fluorescence perfusion in neonatal bowel surgery via deep point tracking.

International journal of computer assisted radiology and surgery·2026

Same author

Blob representation of robotic surgical scenes for position-aware video generation.

International journal of computer assisted radiology and surgery·2026

Same author

VerTE-MT: A Multi-Task Framework with Entropy-Guided Sampling for Vertebrae Segmentation and Localisation in CT.

IEEE journal of biomedical and health informatics·2026

Same author

SurgViVQA: temporally grounded video question answering for surgical scene understanding.

International journal of computer assisted radiology and surgery·2026

Same author

A benchmark of methods for surgical instrument segmentation in endoscopic pituitary surgery.

International journal of computer assisted radiology and surgery·2026

This study introduces a vision-only Simultaneous Localization and Mapping (SLAM) technique to create 3D maps during Minimally Invasive Surgery (MIS). The method enhances camera navigation and localization, overcoming vision limitations in MIS procedures.

Area of Science:

Computer Vision
Surgical Robotics
Medical Imaging

Background:

Minimally invasive surgery (MIS) offers patient benefits but faces challenges due to limited 3D vision and narrow fields-of-view.
Camera navigation and localization are difficult in MIS, impacting procedural accuracy and safety.
Existing mapping techniques may not be suitable for the complex visual environments encountered in MIS.

Purpose of the Study:

To develop a robust, vision-only Simultaneous Localization and Mapping (SLAM) technique for MIS.
To enable repeatable, long-term 3D scene mapping and accurate camera pose recovery.
To overcome the limitations of restricted vision and enhance navigation in MIS procedures.

Main Methods:

A sequential, vision-only SLAM approach is employed, recovering 6 Degrees of Freedom (DOF) camera movement.

More Related Videos

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping

Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Jul 16, 2026

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping

Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping

Published on: December 15, 2023

The method leverages textured surfaces within the surgical scene, reducing dependency on range finders.

Validation was performed using simulated MIS data with realistic textures and in vivo MIS video sequences.

Main Results:

The proposed algorithm demonstrated robustness against complex scene reflectance properties.
Successful 3D map reconstruction and camera localization were achieved in simulated and real MIS data.
The technique showed potential for real-time application within existing MIS systems.

Conclusions:

The developed vision-only SLAM technique effectively addresses navigation and localization challenges in MIS.
The approach provides a repeatable method for long-term 3D scene mapping in surgical environments.
This technology has the potential to significantly improve the integration and performance of current MIS hardware.