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Interventional real-time ultrasound imaging with an integrated electromagnetic field generator

  • K. MärzEmail author
  • A. M. Franz
  • A. Seitel
  • A. Winterstein
  • M. Hafezi
  • A. Saffari
  • R. Bendl
  • B. Stieltjes
  • H.-P. Meinzer
  • A. Mehrabi
  • L. Maier-Hein
Original Article

Abstract

Purpose

Ultrasound (US) guided procedures are frequently performed for diagnosis and treatment of many diseases. However, there are safety and procedure duration limitations in US-guided interventions due to poor image quality and inadequate visibility of medical instruments in the field of view. To address this issue, we propose an interventional imaging system based on a mobile electromagnetic (EM) field generator (FG) attached to a US probe.

Methods

A standard US probe was integrated with an EM FG to allow combined movement of the FG with real-time imaging to achieve (1) increased tracking accuracy for medical instruments are located near the center of the tracking volume, (2) increased robustness because the FG is distant to large metallic objects, and (3) reduced setup complexity since time-consuming placement of the FG is not required. The new integrated US-FG imaging system was evaluated by assessing tracking and calibration accuracy in a clinical setting. To demonstrate clinical applicability, the prototype US-EMFG probe was tested in needle puncture procedures.

Results

The mobile EMFG attached to a US probe yielded sub-millimeter tracking accuracy despite the presence of metal close to the FG. Calibration errors were in the range of 1–2 mm. In an initial phantom study on US-guided needle punctures, targeting errors of about 3 mm were achieved.

Conclusion

A combined US-EMFG probe is feasible and effective for tracking medical instruments relative to US images with high accuracy and robustness while keeping hardware complexity low.

Keywords

Electromagnetic tracking  Computer-assisted interventions Ultrasound  Mobile field generator Compact field generator 

Notes

Acknowledgments

This work was carried out with the support of the German Research Foundation (DFG) as part of project A02, SFB/TRR 125 Cognition-Guided Surgery. Furthermore, it was supported by the Intramural Funding Program of the German Cancer Research Center (DKFZ), Grant for Young Investigators. The Authors would like to thank Sigmar Fröhlich, Gina Jackson, Stefan Kirsch and Nina Stecker (NDI Europe GmbH) for providing additional needles for the experiment.

Conflict of interest

None.

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Copyright information

© CARS 2014

Authors and Affiliations

  • K. März
    • 1
    Email author
  • A. M. Franz
    • 1
  • A. Seitel
    • 1
  • A. Winterstein
    • 1
  • M. Hafezi
    • 2
  • A. Saffari
    • 2
  • R. Bendl
    • 3
  • B. Stieltjes
    • 4
  • H.-P. Meinzer
    • 1
  • A. Mehrabi
    • 2
  • L. Maier-Hein
    • 1
  1. 1.Division of Medical and Biological Informatics, Subdivsion Computer-assisted InterventionsGerman Cancer Research Center, DKFZHeidelbergGermany
  2. 2.Department of General, Visceral and Transplantation SurgeryUniversity of HeidelbergHeidelbergGermany
  3. 3.Department of Diagnostic and Interventional RadiologyUniversity Hospital Heidelberg, DKFZHeidelbergGermany
  4. 4.Quantitative Imaging-based Disease CharacterizationDKFZHeidelbergGermany

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