Zusammenfassung
Image-guided interventions (IGT) have shown a huge potential to improve medical procedures or even allow for new treatment options. Most ultrasound(US)-based IGT systems use electromagnetic (EM) tracking for localizing US probes and instruments. However, EM tracking is not always reliable in clinical settings because the EM field can be disturbed by medical equipment. So far, most researchers used and studied commercial EM trackers with their IGT systems which in turn limited the possibilities to customize the trackers in order minimize distortions and make the systems robust for clinical use. In light of current good scientific practice initiatives that increasingly request research to publish the source code corresponding to a paper, the aim of this work was to test the feasibility of using the open-source EM tracker (Anser EMT) for localizing US probes in a clinical US suite for the first time. The standardized protocol of Hummel et al. yielded a jitter of 0.1 ± 0.1mm and a position error of 1.1 ± 0.7mm, which is comparable to 0.1 mm and 1.0 mm of a commercial NDI Aurora system. The rotation error of Anser EMT was 0.15 ± 0.16º, which is lower than at least 0:4 ºfor the commercial tracker. We consider tracked US as feasible with Anser EMT if an accuracy of 1–2 mm is sufficient for a specific application.
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Literatur
Cleary K, Peters TM. Image-guided interventions: technology review and clinical applications. Annu Rev Biomed Eng. 2010;12:119–142.
Tomonari A, Tsuji K, Yamazaki H, et al. Feasibility of the virtual needle tracking system for percutaneous radiofrequency ablation of hepatocellular carcinoma. Hepatol Res. 2013;43(12):1352–1355.
Franz AM, Haidegger T, Birkfellner W, et al. Electromagnetic tracking in medicine: a review of technology, validation and applications. IEEE Trans Med Imaging. 2014;33(8):1702–1725.
Mercier L, Langø T, Lindseth F, et al. A review of calibration techniques for freehand 3-D ultrasound systems. Ultrasound Med Biol. 2005;31(4):449–471.
Prevost R, Salehi M, Sprung J, et al. Deep learning for sensorless 3D freehand ultrasound imaging. Proc MICCAI. 2017; p. 628–636.
Hummel JB, Bax MR, Figl ML, et al. Design and application of an assessment protocol for electromagnetic tracking systems. Med Phys. 2005;32(7):2371–2379.
Ince DC, Hatton L, Graham-Cumming J. The case for open computer programs. Nature. 2012;482:482–485.
Li M, Bien T, Rose G. Construction of a conductive distortion reduced electromagnetic tracking system for computer assisted image-guided interventions. Med Eng Phys. 2014;36(11):1496–1501.
Jaeger HA, Franz AM, O’Donoghue K, et al. Anser EMT: the first open-source electromagnetic tracking platform for image-guided interventions. Int J Comput Assist Radiol Surg. 2017;12(6):1059–1067.
Tokuda J, Fischer GS, Papademetris X, et al. OpenIGTLink: an open network protocol for image-guided therapy environment. Int J Med Robot. 2009;5(4):423–434.
Horn BKP. Closed-form solution of absolute orientation using unit quaternions. J Opt Soc Am A. 1987;4(4):629–642.
Franz AM, Marz K, Seitel A, et al. Combined modality for ultrasound imaging and electromagnetic tracking. Biomed Tech (Berl). 2013;.
Franz AM, Marz K, Hummel J, et al. Electromagnetic tracking for US-guided interventions: standardized assessment of a new compact field generator. Int J Comput Assist Radiol Surg. 2012;7(6):813–818.
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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Franz, A.M., Jaeger, H.A., Seitel, A., Cantillon-Murphy, P., Maier-Hein, L. (2019). Open-Source Tracked Ultrasound with Anser Electromagnetic Tracking. In: Handels, H., Deserno, T., Maier, A., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2019. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25326-4_52
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DOI: https://doi.org/10.1007/978-3-658-25326-4_52
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