Abstract
Purpose
Electromagnetic tracking systems (EMTS) have achieved a high level of acceptance in clinical settings, e.g., to support tracking of medical instruments in image-guided interventions. However, tracking errors caused by movable metallic medical instruments and electronic devices are a critical problem which prevents the wider application of EMTS for clinical applications.
Methods
We plan to introduce a method to dynamically reduce tracking errors caused by metallic objects in proximity to the magnetic sensor coil of the EMTS. We propose a method using ramp waveform excitation based on modeling the conductive distorter as a resistance-inductance circuit. Additionally, a fast data acquisition method is presented to speed up the refresh rate.
Results
With the current approach, the sensor’s positioning mean error is estimated to be 3.4, 1.3 and 0.7 mm, corresponding to a distance between the sensor and center of the transmitter coils’ array of up to 200, 150 and 100 mm, respectively. The sensor pose error caused by different medical instruments placed in proximity was reduced by the proposed method to a level lower than 0.5 mm in position and \(0.8^{\circ }\) in orientation. By applying the newly developed fast data acquisition method, we achieved a system refresh rate up to approximately 12.7 frames per second.
Conclusions
Our software-based approach can be integrated into existing medical EMTS seamlessly with no change in hardware. It improves the tracking accuracy of clinical EMTS when there is a metallic object placed near the sensor coil and has the potential to improve the safety and outcome of image-guided interventions.
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References
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 16:493–505. doi:10.1097/01.RVI.0000148827.62296.B4
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 10:1845–1852. doi:10.1007/s11548-015-1176-3
Sorger H, Hofstad EF, Amundsen T, Langø T, Leira HO (2016) A novel platform for electromagnetic navigated ultrasound bronchoscopy (EBUS). Int J Comput Assist Radiol Surg 11:1431–1443. doi:10.1007/s11548-015-1326-7
Watzinger F, Birkfellner W, Wanschitz F, Millesi W, Schopper C, Sinko K, Huber K, Bergmann H, Ewers R (1999) Positioning of dental implants using computer-aided navigation and an optical tracking system: case report and presentation of a new method. J Craniomaxillofac Surg 27:77–81
Boutaleb S, Racine E, Fillion O, Bonillas A, Hautvast G, Binnekamp D, Beaulieu L (2015) Performance and suitability assessment of a real-time 3D electromagnetic needle tracking system for interstitial brachytherapy. J Contemp Brachytherapy 7:280–289. doi:10.5114/jcb.2015.54062
Birkfellner W, Watzinger F, Wanschitz F, Enislidis G, Kollmann C, Rafolt D, Nowotny R, Ewers R, Bergmann H (1998) Systematic distortions in magnetic position digitizers. Med Phys 25:2242. doi:10.1118/1.598425
Nafis C, Jensen V, Beauregard L, Anderson P (2006) Method for estimating dynamic EM tracking accuracy of surgical navigation tools. In: Cleary KR, Galloway Jr. RL (eds) Medical imaging, vol 6141, pp 152–167. doi:10.1117/12.653448
Kuchel PW, Chapman BE, Bubb WA, Hansen PE, Durrant CJ, Hertzberg MP (2003) Magnetic susceptibility: solutions, emulsions, and cells. Concepts Magn Reson 18A:56–71. doi:10.1002/cmr.a.10066
Garikepati P, Chang TT, Jiles DC (1988) Theory of ferromagnetic hysteresis: evaluation of stress from hysteresis curves. IEEE Trans Magn 24:2922–2924. doi:10.1109/20.92289
Poulin F, Amiot L-PL-P (2002) Interference during the use of an electromagnetic tracking system under OR conditions. J Biomech 35:733–7. doi:10.1016/S0021-9290(02)00036-2
Kindratenko VV (2000) A survey of electromagnetic position tracker calibration techniques. Virtual Real 5:169–182. doi:10.1007/BF01409422
Plotkin A, Kucher V, Horen Y, Paperno E (2008) A new calibration procedure for magnetic tracking systems. IEEE Trans Magn 44:4525–4528. doi:10.1109/TMAG.2008.2003056
Dumoulin CL (2001) Error compensation for device tracking systems employing electromagnetic fields. Patent US 6,201,987
Jascob B, Kessman P, Simon D, Smith A (2003) Method and apparatus for electromagnetic navigation of a surgical probe near a metal object. Patent US 6,636,757
Rolland JP, Larry DD, Bailot Y (2001) A survey of tracking technology for virtual environments. In: Barfield W, Caudell T (eds) Fundamentals of wearable computers and augmented reality. CRC Press, New Jersey, p 836
Anderson PT (2010) Ultra-low frequency electromagnetic tracking system. Patent US 7,761,100
Hansen PK, Ashe WS (1998) Magnetic field position and orientation measurement system with dynamic eddy current rejection. Patent US 5,767,669
Paperno E, Sasada I, Leonovich E (2001) A new method for magnetic position and orientation tracking. IEEE Trans Magn 37:1938–1940. doi:10.1109/20.951014
Bien T, Li M, Salah Z, Rose G (2014) Electromagnetic tracking system with reduced distortion using quadratic excitation. Int J Comput Assist Radiol Surg 9:323–32. doi:10.1007/s11548-013-0925-4
Nieminen JM, Kirsch SR (2010) Eddy current detection and compensation. Patent US 7,783,441
Hajimiri A (2010) Generalized Time- and Transfer-Constant Circuit Analysis. IEEE Trans Circuits Syst I Regul Pap 57:1105–1121. doi:10.1109/TCSI.2009.2030092
Doetsch G (1974) Introduction to the theory and application of the Laplace transformation. doi:10.1007/978-3-642-65690-3
Rosa EB (1908) The self and mutual inductances of linear conductors. In: Bulletin Bureau Stand. U.S. Dept. of Commerce and Labor, Bureau of Standards, pp 302–305
Meade RL (2002) Foundations of electronics. Cengage Learning, Boston, USA
Raab F, Blood E, Steiner T, Jones H (1979) Magnetic position and orientation tracking system. IEEE Trans Aerosp Electron Syst AES 15:709–718. doi:10.1109/TAES.1979.308860
Li M, Bien T, Rose G (2013) FPGA based electromagnetic tracking system for fast catheter navigation. Int J Sci Eng Res 4:2566–2570. doi:10.14299/ijser.2013.09.001
Adelstein BD, Johnston ER, Ellis SR (1996) Dynamic response of electromagnetic spatial displacement trackers, vol 5, no 3. Presence, Cambridge
Frantz DD, Wiles AD, Leis SE, Kirsch SR (2003) Accuracy assessment protocols for electromagnetic tracking systems. Phys Med Biol 48(14):2241–2251
Wiles AD, Thompson DG, Frantz DD (2004) Accuracy assessment and interpretation for optical tracking systems. In: Galloway Jr RL (ed) SPIE medical international society for optics and photonics, imaging, pp 421–432
Hummel J, Figl M, Birkfellner W, Bax MR, Shahidi R, Maurer CR, Bergmann H (2006) Evaluation of a new electromagnetic tracking system using a standardized assessment protocol. Phys Med Biol 51:N205-10. doi:10.1088/0031-9155/51/10/N01
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’.
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Mengfei Li, Christian Hansen and Georg Rose declare that they have no conflict of interest.
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Li, M., Hansen, C. & Rose, G. A software solution to dynamically reduce metallic distortions of electromagnetic tracking systems for image-guided surgery. Int J CARS 12, 1621–1633 (2017). https://doi.org/10.1007/s11548-017-1546-0
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DOI: https://doi.org/10.1007/s11548-017-1546-0