Related Experiment Video
Updated: Jul 7, 2025

06:18
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
Published on: April 5, 2024
1.1K
Modern Image-Guided Surgery: A Narrative Review of Medical Image Processing and Visualization.
Zhefan Lin1,2, Chen Lei2, Liangjing Yang1,2
1School of Mechanical Engineering, Zhejiang University, Hangzhou 310030, China.
Sensors (Basel, Switzerland)
|December 23, 2023
Summary
This review organizes medical image processing and visualization for image-guided surgery (IGS). It highlights how technologies like augmented/mixed/virtual reality (AR/MR/VR) enhance surgical performance.
Area of Science:
- Medical image analysis
- Surgical technology
- Computer-assisted interventions
Background:
- Medical image analysis is crucial for image-guided surgery (IGS).
- Advancements in imaging modalities present challenges in information extraction.
- Sophisticated visualization and digital reality technologies can significantly improve surgical performance.
Purpose of the Study:
- To systematically review and organize key components of IGS.
- To provide new perspectives on medical image processing and visualization in IGS.
- To explore the impact of advanced visualization technologies on surgical outcomes.
Main Methods:
- Narrative review of literature up to mid-2022.
- Systematic summary of basic, mainstream, and state-of-the-art image processing methods.
- Analysis of visualization technologies such as augmented/mixed/virtual reality (AR/MR/VR) in IGS.
Main Results:
- Identified and organized core medical image processing techniques relevant to IGS.
- Detailed the integration and benefits of AR/MR/VR technologies in enhancing IGS.
- Provided a comprehensive overview of current and emerging visualization applications in surgery.
Conclusions:
- Effective medical image processing and advanced visualization are essential for the future of IGS.
- AR/MR/VR technologies offer significant potential to enhance surgical precision and outcomes.
- Further research in image processing and visualization is needed to address challenges and opportunities in IGS.

