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This study presents a comprehensive magnetic needle tracking system for Percutaneous Vertebroplasty (PVP), designed to provide structural support for fractured vertebrae. Leveraging Hall-effect sensors, the system demonstrates effective detection of needle movement during procedures. Statistical analysis reveals consistency and resilience against interferences, enhancing the procedure’s precision. Future improvements include integrating the system with X-ray fluoroscopy for enhanced accuracy. This project is part of the II44004 HUMAIN SAM initiative funded by the Serbian Ministry of Science.
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MAGNETS:Magnetic Needle Tracking System Vladimir Sibinović¹, BojanaPetković², Goran Đorđević¹ ¹ University of Niš, Faculty of Electronic Engineering ² University of applied sciences, Erfurt
Outline • Introduction • System • Interferences • Symmetry • Statistical analysis of data • Conclusion • Further work • References
Introduction • 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
System • Based on Hall-effect sensors • Senis GmbH; Sentronis AD
Magnet and needle • Axial polarization • Needle for PVP
Interferences • Are there interferences from the presence of human body?
Symmetry • 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 • Statistics gives the best view of a large data set • Mean, Standard deviation, Variance
Conclusion • 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 • 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
References • 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, http://senis.ch/new-tranducer_data_sheets.html • The MathWorks, Inc. MATLAB, www.mathworks.com • Wikipedia, http://www.wikipedia.org/
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