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Related Experiment Video

Updated: Dec 5, 2025

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

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3D-XGuide: open-source X-ray navigation guidance system.

Ina Vernikouskaya1, Dagmar Bertsche2, Wolfgang Rottbauer2

  • 1Clinic of Internal Medicine II, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany. ina.vernikouskaya@uni-ulm.de.

International Journal of Computer Assisted Radiology and Surgery
|October 15, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a software system for image fusion and real-time navigation during X-ray (XR) guided transcatheter interventions. The system supports independent research and development for improved interventional guidance.

Keywords:
Image fusionImage-guided interventionsMultimodal visualizationOpen-source softwareX-ray fluoroscopy

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Area of Science:

  • Medical Imaging
  • Interventional Radiology
  • Software Engineering

Background:

  • Advanced imaging modalities offer new intraoperative support for interventions.
  • Existing multimodal image guidance systems have limitations due to proprietary vendor solutions.
  • Integrating advanced guidance techniques is challenging.

Purpose of the Study:

  • To introduce a software system for image fusion, real-time navigation, and working points documentation.
  • To support transcatheter interventions guided by X-ray (XR).
  • To overcome limitations of current proprietary guidance systems.

Main Methods:

  • Developed an interactive software system using Qt and VTK.
  • Implemented cross-modal registration and image fusion of XR fluoroscopy with CT/MRI 3D models.
  • Enabled retrospective DICOM data import and live XR data input via video capture interface.

Main Results:

  • The software features a GUI with data import, projection geometry calculation, and coordinate transformations.
  • Includes rigid 3D-3D registration and template matching-based tracking with motion compensation.
  • Source code and executables are available on GitHub for research.

Conclusions:

  • The system provides a foundation for rapid prototyping of new XR fluoroscopic guidance approaches.
  • As a software solution, it is potentially vendor-independent.
  • The system can be extended for use with different manufacturers' XR systems.