A simulator for advanced analysis of a 5-DOF EM tracking systems in use for image-guided surgery
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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.
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.
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.
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.
KeywordsElectromagnetic tracking Navigation Transmitter placement optimization Kalman filter Image-guided surgery
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.
- 2.Franz AM, März K, Hummel J, Birkfellner W, Bendl R, Delorme S, Schlemmer HP, Meinzer HP, Maier-Hein L (2012) Electromagnetic tracking for us-guided interventions: standardized assessment of a new compact field generator. Int J Comput Assist Radiol Surg 7(6):813–818. doi: 10.1007/s11548-012-0740-3 CrossRefPubMedGoogle Scholar
- 3.Shahriari N, Hekman E, Oudkerk M, Misra S (2015) Design and evaluation of a computed tomography (ct)-compatible needle insertion device using an electromagnetic tracking system and ct images. Int J Comput Assist Radiol Surg 10(11):1845–1852. doi: 10.1007/s11548-015-1176-3 CrossRefPubMedPubMedCentralGoogle Scholar
- 5.Wood BJ, Zhang H, Durrani A, Glossop N, Ranjan S, Lindisch D, Levy E, Banovac F, Borgert J, Krueger S, Kruecker J, Viswanathan A, Cleary K (2005) Navigation with electromagnetic tracking for interventional radiology procedures: a feasibility study. J Vasc Interv Radiol 16(4):493–505. doi: 10.1097/01.RVI.0000148827.62296.B4 CrossRefPubMedPubMedCentralGoogle Scholar
- 10.Bien T, Rose G (2012) Algorithm for calibration of the electromagnetic tracking system. In: 2012 IEEE-EMBS international conference on biomedical and health informatics (BHI), IEEE, pp 85–88. doi: 10.1109/BHI.2012.6211512
- 14.Wilson E, Yaniv Z, Zhang H, Nafis C, Shen E, Shechter G, Wiles A, Peters T, Lindisch D, Cleary K (2007) A hardware and software protocol for the evaluation of electromagnetic tracker accuracy in the clinical environment: a multi-center study. Proc SPIE 6509:65092T. doi: 10.1117/12.712701 CrossRefGoogle Scholar
- 17.Li M, Hansen C, Rose G (2015) A robust electromagnetic tracking system for clinical applications. In: Proceedings of the annual meeting of the German society of computer- and robot-assisted surgery, pp 31–36Google Scholar
- 18.Wiles AD, Thompson DG, Frantz DD (2004) Accuracy assessment and interpretation for optical tracking systems. Proc SPIE 5367:421–432. doi: 10.1117/12.536128
- 23.Schneider M, Stevens C (2007) Development and testing of a new magnetic-tracking device for image guidance. In: Medical imaging, International society for optics and photonics, pp 65.090I–65.090I. doi: 10.1117/12.713249
- 26.Bertozzi M, Broggi A, Fascioli A, Tibaldi A, Chapuis R, Chausse F (2004) Pedestrian localization and tracking system with Kalman filtering. In: Intelligent vehicles symposium, IEEE, pp 584–589. doi: 10.1109/IVS.2004.1336449
- 27.Schenderlein M, Rasche V, Dietmayer K (2011) Three-dimensional catheter tip tracking from asynchronous biplane X-ray image sequences using non-linear state filtering. In: Bildverarbeitung für die Medizin 2011, Springer, pp 234–238. doi: 10.1007/978-3-642-19335-4_49
- 28.Li M, Song S, Hu C, Chen D, Meng MQH (2010) A novel method of 6-dof electromagnetic navigation system for surgical robot. In: 2010 8th world congress on intelligent control and automation (WCICA), IEEE, pp 2163–2167. doi: 10.1109/WCICA.2010.5554348
- 31.Aron M, Kerrien E, Berger MO, Laprie Y (2006) Coupling electromagnetic sensors and ultrasound images for tongue tracking: acquisition setup and preliminary results. In: 7th international seminar on speech production-ISSP’06, CEFALA-Centro de Estudos da Fala, Acústica, Linguagem e músicAGoogle Scholar