Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Anser EMT: the first open-source electromagnetic tracking platform for image-guided interventions.

Herman Alexander Jaeger1,2, Alfred Michael Franz3, Kilian O'Donoghue4

  • 1IHU Strasbourg, Strasbourg, France. h.jaeger@umail.ucc.ie.

International Journal of Computer Assisted Radiology and Surgery
|March 31, 2017
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Author Correction: Large-scale self-supervised video foundation model for intelligent surgery.

NPJ digital medicine·2026
Same author

Photoacoustic device fingerprints induce bias in deep learning models.

Scientific reports·2026
Same author

Impact of higher versus lower PEEP on mortality in mechanically ventilated patients with Sepsis - A multicenter, multi-cohort observational analysis.

Journal of critical care·2026
Same author

Validation of a deep-learning based thrombus classifier on digital subtraction angiography using a large-scale dataset.

Neuroradiology·2026
Same author

High vasopressor doses are associated with decreased tissue oxygenation in critically ill patients: a secondary analysis of a prospective cohort.

Critical care (London, England)·2026
Same author

Current validation practice undermines surgical AI development.

ArXiv·2026
This summary is machine-generated.

An open-source electromagnetic tracking (EMT) system, Anser, offers a flexible and cost-effective solution for research in image-guided interventions. This system achieves high accuracy and integrates with existing medical imaging toolkits, overcoming limitations of current commercial EMT platforms.

Area of Science:

  • Medical Imaging and Navigation
  • Open-Source Technology in Healthcare

Background:

  • Electromagnetic tracking (EMT) is crucial for clinical navigation without line of sight.
  • Existing clinical EMT systems lack flexibility and are costly for research.
  • Understanding EMT characterization and limitations requires accessible research platforms.

Purpose of the Study:

  • To introduce Anser, an open-source electromagnetic tracking system.
  • To enable research into EMT for image-guided interventions.
  • To address the limitations of current commercial EMT systems.

Main Methods:

  • Implementation schematics for a low-cost EMT system using National Instruments and Arduino hardware.
  • MATLAB support code for acquisition and demodulation.
Keywords:
Electromagnetic trackingImage guidanceImage-guided surgeryOpen sourceOpenIGTLink

Related Experiment Videos

  • Performance comparison with commercial platforms using the Hummel assessment protocol.
  • Main Results:

    • Reported positional accuracy of 1.14 mm and angular rotation accuracy of [Formula: see text].
    • Anser, like other EMT platforms, is susceptible to eddy current and ferromagnetic distortion.
    • Compatibility with commercial EMT sensors and OpenIGTLink for integration with MITK and 3D Slicer.

    Conclusions:

    • The open-source Anser platform facilitates research into EMT.
    • Collaborative approaches using Anser can overcome current EMT limitations.
    • Promotes novel investigations in image-guided interventions.