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Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
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3D magnetic seed localization for augmented reality in surgery.

Pierre Ambrosini1,2, Sara AzizianAmiri3, Eliane Zeestraten4

  • 1Department of Surgical Oncology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. ambrosini.pi@gmail.com.

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Surgeons can now precisely locate tumors using a new 3D magnetic seed localization system. This method enhances surgical accuracy by providing real-time visualization, improving tumor resection outcomes.

Keywords:
3D localizationMagnetic seedMixed-realitySurgery

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Area of Science:

  • Medical Imaging
  • Surgical Navigation
  • Biomedical Engineering

Background:

  • Tumor resection requires accurate tumor localization for effective surgical outcomes.
  • Current methods using magnetic probes require surgeons to mentally reconstruct tumor position.
  • A need exists for improved 3D localization and visualization of implanted magnetic seeds.

Purpose of the Study:

  • To develop and assess a novel method for 3D localization and visualization of magnetic seeds.
  • To facilitate more precise tumor localization during surgical procedures.
  • To enhance surgeon's perception of the target region of interest.

Main Methods:

  • A tracking-based localization system was developed by extending a magnetic detection probe.
  • Position sensors (QR-code or optical marker) were attached to the probe to track its 3D pose.
  • A system of equations was solved using probe distances and 3D poses to determine seed position.

Main Results:

  • The method achieved an average 3D distance of 1.6 mm (QR-code) and 0.8 mm (optical marker) to ground truth.
  • In a breast phantom setup, average 3D distances were 4.7 mm (QR-code) and 2.1 mm (optical marker).
  • The system demonstrated accurate 3D localization of the magnetic seed.

Conclusions:

  • Tracking the magnetic detection probe enables accurate 3D localization of magnetic seeds.
  • This technology paves the way for augmented reality visualization during surgery.
  • The approach is particularly beneficial for breast tumor resection, improving intraoperative guidance.