Related Experiment Video
Updated: Aug 11, 2026
09:41
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
Published on: May 20, 2016
Colour-Guided Surgery: A Conceptual Framework for Multimodal Intraoperative Visualisation-A Narrative Review
Takashi Nonaka1,2,3, Shintaro Hashimoto1, Tetsuro Tominaga1
1Department of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.
Summary
Multimodal intraoperative imaging, including AI and fluorescence, enhances surgical understanding by combining anatomical, functional, and biological information. This integration forms the basis for advanced surgical guidance systems.
Area of Science:
- Surgical Technology
- Medical Imaging
- Computer-Assisted Surgery
Background:
- Intraoperative imaging has advanced beyond traditional white-light visualization.
- Current modalities include fluorescence imaging, color enhancement, artificial intelligence (AI), and molecular-targeted imaging.
- These advanced imaging techniques are often used in isolation.
Purpose of the Study:
- To review current multimodal intraoperative imaging techniques.
- To illustrate the complementary visual information provided by different imaging modalities.
- To propose a framework for integrating these technologies.
Main Methods:
- This study is a narrative review.
- It synthesizes information on current multimodal intraoperative imaging.
- Representative clinical images and conceptual illustrations are used.
Main Results:
- White-light imaging offers anatomical context.
- Color enhancement improves tissue contrast.
- Fluorescence imaging provides functional data, AI aids real-time recognition, and molecular imaging offers specific biological visualization.
- Combined modalities create layered visual information for enhanced intraoperative understanding.
Conclusions:
- Color-guided surgery is proposed as a framework to unify multimodal imaging.
- This framework aims to create a cohesive intraoperative guidance system.
- It may serve as a basis for evaluating multimodal guidance in robotic and minimally invasive surgery.
