1 / 14

MAGNETS: Magnetic Needle Tracking System

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

uta-larson
Download Presentation

MAGNETS: Magnetic Needle Tracking System

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. MAGNETS:Magnetic Needle Tracking System Vladimir Sibinović¹, BojanaPetković², Goran Đorđević¹ ¹ University of Niš, Faculty of Electronic Engineering ² University of applied sciences, Erfurt

  2. Outline • Introduction • System • Interferences • Symmetry • Statistical analysis of data • Conclusion • Further work • References

  3. 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

  4. System • Based on Hall-effect sensors • Senis GmbH; Sentronis AD

  5. Magnet and needle • Axial polarization • Needle for PVP

  6. Interferences • Are there interferences from the presence of human body?

  7. 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

  8. Symmetry – graph

  9. Statistical analysis of data • Statistics gives the best view of a large data set • Mean, Standard deviation, Variance

  10. Boxplot

  11. 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

  12. 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

  13. 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/

  14. Questions ? Thank you for your time

More Related