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Related Experiment Video

Updated: Feb 17, 2026

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
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Multi-modal imaging, model-based tracking, and mixed reality visualisation for orthopaedic surgery.

Sing Chun Lee1, Bernhard Fuerst2, Keisuke Tateno3,4

  • 1Computer Aided Medical Procedures, Laboratory for Computational Sensing & Robotics, Johns Hopkins University, Baltimore, MD, USA.

Healthcare Technology Letters
|November 30, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a mixed reality system to improve orthopaedic screw placement. The system enhances surgical navigation by fusing imaging data and tracking tools in real-time, aiding complex 3D procedures.

Keywords:
3D point cloudsCBCT imagingadapted 3D model-based tracking algorithmautomatic tool segmentationbonecomplex 3D structurescomputerised tomographycone-beam computed tomography imaging spacediagnostic radiographyentry pointimage fusionimage reconstructionimage registrationimage segmentationinteractive 3D mixed reality environmentiterative closest point algorithmiterative methodsmedical image processingmixed reality environmentmixed reality visualisationmobile C-armmodel-based surgical tool trackingmultimodal data fusionmultimodal imagingorthopaedic surgeryorthopaedicspartial occlusionpelvisreal-time automatic fusionreconstructed surfacered-green-blue-depth camerascrew placementsurgerysurgical toolssynthetic fluoroscopic imagestarget registration errortracking accuracytwo-dimensional fluoroscopic imagesworkflow

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Area of Science:

  • Medical Imaging
  • Computer-Assisted Surgery
  • Mixed Reality

Background:

  • Current orthopaedic surgery relies on 2D fluoroscopy for complex 3D drilling.
  • This workflow is outdated and can be challenging for intricate structures like the pelvis.

Purpose of the Study:

  • To develop and validate a mixed reality (MR) support system for orthopaedic screw placement.
  • To enhance surgical navigation and accuracy in complex 3D environments.

Main Methods:

  • A mixed reality system integrating multi-modal data fusion and model-based surgical tool tracking.
  • Real-time fusion of surface/point cloud data with cone-beam computed tomography (CBCT) imaging using a calibrated RGB-D camera.
  • 3D model-based tracking algorithm with automatic tool segmentation for handling occluded surgical tools.

Main Results:

  • The system provides an interactive 3D mixed reality environment for improved surgical site understanding.
  • Demonstrated accurate localization of entry points and tool orientation during screw placement.
  • Validated augmentation accuracy via target registration error and evaluated tracking performance with partial occlusion.

Conclusions:

  • The proposed mixed reality system offers an intuitive and effective approach to support orthopaedic screw placement.
  • This technology has the potential to improve surgical precision and efficiency in complex orthopaedic procedures.