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

Sensors (Basel). 2022 May 19;22(10):3845. doi: 10.3390/s22103845.

Abstract

A radio frequency (RF)-based system for surgical navigation is presented. Surgical navigation technologies are widely used nowadays for aiding the surgical team with many interventions. However, the currently available options still pose considerable limitations, such as line-of-sight occlusion prevention or restricted materials and equipment allowance. In this work, we suggest a different approach based on a microwave broadband antenna system. We combine techniques from microwave medical imaging, which can overcome the current limitations in surgical navigation technologies, and we propose methods to develop RF-based systems for real-time tracking neurosurgical tools. The design of the RF system to perform the measurements is shown and discussed, and two methods (Multiply and Sum and Delay Multiply and Sum) for building the medical images are analyzed. From these measurements, a surgical tool's position tracking system is developed and experimentally assessed in an emulated surgical scenario. The reported results are coherent with other approaches found in the literature, while overcoming their main practical limitations. The discussion of the results discloses some hints on the validity of the system, the optimal configurations depending on the requirements, and the possibilities for future enhancements.

Keywords: RF antenna system; microwave-based medical image; real-time tracking; surgical navigation.

MeSH terms

  • Radio Waves*
  • Surgery, Computer-Assisted* / methods

Grants and funding

This research was partially funded by AEI (Spanish Research State Agency) through PID2019-111023RB-C32 project. The work of A.M.-L. was funded by Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital and European Social Fund through the ACIF predoctoral program, grant number ACIF/2020/147. The work of C.G.J. was funded by the Ministry of Universities in the Government of Spain, the European Union–NextGenerationEU and Miguel Hernández University of Elche through the Margarita Salas postdoctoral program.