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Updated: Jun 24, 2026
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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
Published on: September 2, 2025
From medical image computing to computer-aided intervention: development of a research interface for image-guided
Xenophon Papademetris1, Christine DeLorenzo, Sven Flossmann
1Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, CT 06520-8043, USA. xenophon.papademetris@yale.edu
Summary
A new research interface enables real-time data transfer between image analysis software and image-guided surgery systems. This integration successfully brings advanced research techniques into the operating room for improved surgical navigation.
Area of Science:
- Medical Technology
- Computer Science
- Neurosurgery
Background:
- Development of a novel research interface to bridge image analysis software and commercial image-guided surgery (IGS) navigation systems.
- The interface facilitates real-time, bi-directional data exchange, including images, visualizations, and tool positions.
Purpose of the Study:
- To describe the design and application programming interface (API) of the research interface.
- To demonstrate the practical application of integrating advanced image analysis research into the operating room (OR).
Main Methods:
- Detailed description of the research interface's design and API.
- Implementation and testing of an example client program.
- Integration of a dual-computer system for enhanced functionality.
Main Results:
- Successful application of the research interface in phantom experiments and real neurosurgeries.
- Demonstrated comparable tool-tracking performance between the integrated dual-computer system and traditional single-computer systems.
- Validation of the interface's capability to transfer critical surgical data in real time.
Conclusions:
- Network interfaces offer a viable solution for integrating commercial IGS systems with research software.
- The developed interface enhances the practical application of image analysis in surgical settings.
- This integration paves the way for advanced computational tools in clinical practice.
