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A simulator for advanced analysis of a 5-DOF EM tracking systems in use for image-guided surgery

  • Mengfei LiEmail author
  • Christian Hansen
  • Georg Rose
Original Article

Abstract

Purpose

To assess the accuracy of medical electromagnetic tracking systems, reference positioning systems are generally required. Errors are unavoidable in such systems, and despite how tiny they may be, prevent the ground truth from being known. In this work, a simulator was developed and used to analyze the theoretical system performances in electromagnetic tracking.

Methods

To simulate the entire tracking process, the magnetic dipole model, Faraday’s law, and a mathematical optimization algorithm are applied. With the simulator, we optimized the spatial placement of the transmitter coils, analyzed the tracking accuracy by applying stochastic and optimized coil placement. Additionally, the performance of the calibration of transmitter coils’ measurement error and Kalman filtering was tested.

Results

The results show that, after optimizing the spatial arrangement of the transmitter coils, the tracking accuracy is significantly improved to a much higher level compared with applying statistical arrangement. The measurement errors of the transmitter coils’ positions and orientations can be totally rectified by the developed calibration algorithm when no noises are introduced. The Kalman filter reduces the sensor jitter errors caused by noise, which potentially allows the EM tracking system to reach a larger volume of interest.

Conclusions

We proposed a simulator for advanced analysis in electromagnetic tracking without hardware requirements. Grounded on this, we performed an optimization of the spatial arrangement of the transmitter coils to improve the tracking accuracy further. The performances of the calibration algorithm and Kalman filtering were also evaluated. The developed simulator can also be applied for other analysis in electromagnetic tracking.

Keywords

Electromagnetic tracking Navigation Transmitter placement optimization Kalman filter Image-guided surgery 

Notes

Acknowledgements

The work of this paper is partly funded by the Federal Ministry of Education and Research within the Forschungscampus STIMULATE under Grant number ‘13GW0095A’.

Compliance with ethical standards

Conflict of interest

The authors Mengfei Li, Christian Hansen and Georg Rose declare that they have no conflict of interest.

Ethical approval

Not required.

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Copyright information

© CARS 2017

Authors and Affiliations

  1. 1.Chair for Medical Telematics and Medical Technology, Institute of Medical TechnologyOtto-von Guericke Universität MagdeburgMagdeburgGermany
  2. 2.Research Group of Computer-Assisted Surgery, Institute of Simulation and GraphicsOtto-von-Guericke Universität MagdeburgMagdeburgGermany

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