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

Published in: International journal of computer assisted radiology and surgery (2017)

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.

Keyphrases

minimally invasive
high frequency
virtual reality
machine learning
deep learning
coronary artery disease