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

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

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

Same author

Warm-started reinforcement learning for iterative 3D/2D liver registration.

International journal of computer assisted radiology and surgery·2026

Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026

Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026

Same journal

Generalised Medical Phrase Grounding.

IEEE transactions on medical imaging·2026

Same journal

A Neural-Analytical Fusion Scatter Correction Method for Multi-Source CT Using Equivalent High-Order Scatter.

IEEE transactions on medical imaging·2026

Same journal

SynReEM: Synapse Reconstruction via Instance Structure Encoding in Anisotropic Electron Microscopic Volumes.

IEEE transactions on medical imaging·2026

Same journal

MotionDPS: Motion-Compensated 3D Brain MRI Reconstruction.

IEEE transactions on medical imaging·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 27, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

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

Xu Wang, Shuai Zhang, Baoru Huang

IEEE Transactions on Medical Imaging

|June 25, 2026

Summary

This summary is machine-generated.

This study introduces EndoLRMGS, a novel framework for 3D reconstruction of surgical scenes, accurately modeling both deformable tissues and articulated instruments from endoscopic videos.

More Related Videos

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

Related Experiment Videos

Last Updated: Jun 27, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

Area of Science:

Computer Vision
Medical Robotics
3D Reconstruction

Background:

Reconstructing dynamic surgical scenes from endoscopic videos is challenging.
Existing methods often neglect articulated instruments, focusing only on deformable tissues.

Purpose of the Study:

To present EndoLRMGS, the first unified framework for reconstructing both deformable tissue and articulated instruments from monocular video and depth priors.
To improve the accuracy and completeness of 3D surgical scene reconstruction.

Main Methods:

Frequency-Modulated Gaussian Splatting (FMGS) for high-fidelity deformable tissue reconstruction.
Large Reconstruction Model (LRM) combined with Orthographic and Perspective joint Projection Optimization (OPjPO) for instrument reconstruction, scale recovery, and spatial alignment.

Main Results:

EndoLRMGS achieves high PSNR and low Chamfer distance for tissue reconstruction (PSNR: 28.4981–38.4179, CD: 1.43–4.71 mm).
Instrument reconstruction shows competitive PSNR values and high IoU (71.56%–85.82%) for spatial alignment.
Demonstrates accurate, complete, and photorealistic 3D reconstruction of surgical scenes.

Conclusions:

EndoLRMGS offers a powerful and versatile solution for comprehensive 3D surgical scene reconstruction.
The modular approach effectively handles both deformable tissues and articulated instruments.
Enables more accurate and detailed analysis and planning in robot-assisted surgery.