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Determining the shift of a bronchoscope catheter from the analysis of a video sequence of a bronchoscope video camera

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Języki publikacji
EN
Abstrakty
EN
In this study we have proposed an algorithm for automated monitoring of the movements of a catheter used in peripheral bronchoscopy examination. We have shown that the shift of the catheter can be controlled in an automated way with quite a good accuracy by the means of analysis of video sequence recorded by a video camera of a bronchoscope. For a catheter moving between successive frames by no more than 1/3 of the distance between successive markers associated with a catheter the accuracy of a catheter shift measurement was equal to 1% and for a catheter moving between successive frames by no more than 1/2 of the distance between successive markers associated with a catheter the accuracy of a catheter shift measurement was equal to 5%. Visual inspection proved that the observed measurement errors were associated with faster movements of a catheter. Bronchoscope redesign option is proposed to improve catheter shift measurement accuracy. The results of this study demonstrate that application of image analysis techniques to data recorded during bronchoscopy examination can at least support the existing navigation methods for peripheral bronchoscopy with respect to the determination of the location of the catheter distal tip within the lumen of the pulmonary airways.
Twórcy
autor
  • Cracow University of Technology, ul. Warszawska 24, 31-155 Kraków, Poland
autor
  • Cracow University of Technology, ul. Warszawska 24, 31-155 Kraków, Poland
  • Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland
Bibliografia
  • [1] Wang KP, Mehta AC, Turner JF, editors. Flexible bronchoscopy. 2nd ed. Cambridge: Blackwell; 2003.
  • [2] Yarmus L, Feller-Kopman D. Bronchoscopes of the twenty-first century. Clin Chest Med 2010;31:19–27.
  • [3] Schwarz Y, Mehta AC, Ernst A, Herth F, Engel A, Besser D, et al. Electromagnetic navigation during flexible bronchoscopy. Respiration 2003;70:516–22.
  • [4] Becker H, Herth F, Ernst A, Schwarz Y. Bronchoscopic biopsy of peripheral lung lesions under electromagnetic guidance. J Bronchol 2005;12:9–13.
  • [5] Schwarz Y, Greif J, Becker HD, Ernst A, Mehta A. Real-time electromagnetic navigation bronchoscopy to peripheral lung lesions using overlaid CT images. Chest 2006;124:988–94.
  • [6] Henriques JF, Caseiro R, Martins P, Batista J. High-speed tracking with kernelized correlation filters. IEEE TPAMI 2015;37:583–96.
  • [7] Wada H, Hirohashi K, Nakajima T, Anayama T, Kato T, Grindlay A, et al. Assessment of the new thin convex probe endobronchial ultrasound bronchoscope and the dedicated aspiration needle: a preliminary study in the porcine lung. J Bronchol Interv Pulmonol 2015;22:20–7.
  • [8] Schuhmann M, Eberhardt R, Herth FJF. Endobronchial ultrasound for peripheral lesions: a review. Endosc Ultrasound 2013;2:3–6.
Uwagi
PL
Opracowanie w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8f2a6821-7136-43e4-b179-758ede869f5e
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