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Related Experiment Video

Updated: Nov 18, 2025

Augmented Reality Navigation-Guided Core Decompression for Osteonecrosis of Femoral Head

Augmented Reality Navigation-Guided Core Decompression for Osteonecrosis of Femoral Head

Published on: April 12, 2022

Augmented reality navigation for minimally invasive knee surgery using enhanced arthroscopy.

Fang Chen¹, Xiwen Cui², Boxuan Han²

¹Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing, China.

Computer Methods and Programs in Biomedicine

|February 9, 2021

Summary

This study introduces an augmented reality navigation system to improve minimally invasive knee surgery. The new system enhances surgical accuracy and provides better anatomical visualization compared to traditional 2D methods.

Keywords:

Arthroscopic image Augmented reality Enhanced information Knee surgery

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Area of Science:

Medical Technology
Surgical Navigation
Augmented Reality

Background:

Minimally invasive knee surgery relies on 2D arthroscopic images, posing challenges in hand/eye coordination and limited visualization.
Current 2D arthroscopic navigation restricts surgeons' view to the camera's perspective, often resulting in obscured internal knee structures.

Purpose of the Study:

To develop a novel in-situ augmented reality (AR) navigation system to overcome the limitations of traditional 2D arthroscopic surgery.
To enhance surgical guidance by providing global, in-situ, and detailed anatomical information during minimally invasive knee procedures.

Main Methods:

Intraoperative anatomical locations were determined using arthroscopic images and calibration.
A tissue properties-based model deformation method updated a 3D preoperative knee model with real-time anatomical data.
The updated model was rendered for a glasses-free 3D AR view, and virtual arthroscopic images were generated.

Main Results:

Virtual arthroscopic images accurately reflected anatomical structure information with a mean error of 0.32 mm.
The AR navigation system reduced targeting errors by 2.10 mm on knee phantoms and 2.70 mm on swine knees compared to 2D navigation.

Conclusions:

The proposed AR navigation system significantly improves accuracy in minimally invasive knee surgery.
This technology offers valuable global in-situ and detailed anatomical information, aiding surgeons in complex procedures.