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MAGNETS: Magnetic Needle Tracking System. Vladimir Sibinović¹, Bojana Petkovi ć ² , Goran Đorđević ¹ ¹ University of Niš, Faculty of Electronic Engineering ² University of applied sciences, Erfurt. Outline. Introduction System Interferences Symmetry Statistical analysis of data

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magnets magnetic needle tracking system

MAGNETS:Magnetic Needle Tracking System

Vladimir Sibinović¹, BojanaPetković², Goran Đorđević¹

¹ University of Niš, Faculty of Electronic Engineering

² University of applied sciences, Erfurt

  • Introduction
  • System
  • Interferences
  • Symmetry
  • Statistical analysis of data
  • Conclusion
  • Further work
  • References
  • Part of project II44004, HUMANISAM, which is financed by Serbian Ministry of Science
  • Percutaneous Vertebroplasty – PVP
  • Providing structural support for fractured and weaken vertebra
  • Design and realization of a system for magnetic tracking of the needle during PVP
  • Based on Hall-effect sensors
  • Senis GmbH; Sentronis AD
magnet and needle
Magnet and needle
  • Axial polarization
  • Needle for PVP
  • Are there interferences from the presence of human body?
  • Symmetry of data due to symmetry of the system
  • Can be an advantage in further development
  • Elimination of excess measurements
  • Substitution of the sensors
statistical analysis of data
Statistical analysis of data
  • Statistics gives the best view of a large data set
  • Mean, Standard deviation, Variance
  • We proven the hypothesis that the movement of the needle can be detected with Hall-effect
  • The system is precise, but the actual precision is yet to be determine
  • Data are consistent and repetitive
  • System is immune to the interferences that can accrue during the procedure
further work
Further work
  • Transformation of measured voltage values in to the position of the magnet, and with that the position of the needle
  • Combination with X-ray fluoroscopy
  • Determining the exact precision of the system
  • K. Gary, L. Ibanez and S. Aylward, D. Gobbi, M. B. Blake and K. Cleary, “IGSTK: An Open Source Software Toolkit for Image-Guided Surgery,” IEEE Computer, April 2006.
  • S. M. Samani, M. Yazdi, M. H. Bagheri , “Automatic Identification of Needle’s Entrance Point and Angle in Vertebroplasty,” IEEE international Conference on Signal and Image Processing Applications, 2009.
  • Senis GmbH,
  • The MathWorks, Inc. MATLAB,
  • Wikipedia,
Questions ?

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