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Validation of an RF Image System for Real-Time Tracking Neurosurgical Tools.

Carolina Blanco-Angulo¹, Andrea Martínez-Lozano¹, Carlos G Juan¹

¹School of Engineering of Elche, Miguel Hernández University of Elche, 03202 Elche, Spain.

Sensors (Basel, Switzerland)

|May 28, 2022

Summary

This study introduces a novel radio frequency (RF)-based surgical navigation system using microwave imaging. The system enables real-time tracking of neurosurgical tools, overcoming limitations of current technologies.

Keywords:

RF antenna system microwave-based medical image real-time tracking surgical navigation

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Area of Science:

Medical Imaging
Surgical Navigation Technology
Radio Frequency Applications

Background:

Current surgical navigation systems face limitations like line-of-sight occlusion and equipment restrictions.
Advanced technologies are needed to improve accuracy and flexibility in surgical interventions.

Purpose of the Study:

To develop and assess a radio frequency (RF)-based system for real-time tracking of neurosurgical tools.
To overcome the limitations of existing surgical navigation technologies using microwave imaging principles.

Main Methods:

Design and implementation of a microwave broadband antenna system for RF measurements.
Analysis of Multiply and Sum (MAS) and Delay Multiply and Sum (DMAS) algorithms for medical image reconstruction.
Experimental assessment of the RF system in an emulated surgical scenario for tool tracking.

Main Results:

The developed RF system demonstrated real-time tracking of surgical tools in an emulated environment.
The system's performance is comparable to existing methods while addressing their practical limitations.
Analysis provided insights into system validity, optimal configurations, and potential for future enhancements.

Conclusions:

The proposed RF-based surgical navigation system offers a promising alternative to current technologies.
Microwave imaging techniques can effectively enhance the capabilities of surgical navigation.
Further development could lead to improved real-time tracking and broader applications in neurosurgery.