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Updated: Jun 18, 2026

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
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Dynamic view expansion for minimally invasive surgery using simultaneous localization and mapping.

Peter Mountney1, Guang-Zhong Yang

  • 1Department of Computing and Institute of Biomedical Engineering, Imperial College London. South Kensington Campus, London SW7 2AZ, UK. peter.mountney@imperial.ac.uk

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
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This study introduces dynamic view expansion to create 3D models for improved minimally invasive surgery (MIS) navigation. This technique enhances surgical visualization and spatial orientation in complex environments.

Area of Science:

  • Medical Imaging
  • Surgical Navigation
  • Computer-Assisted Surgery

Background:

  • Minimally Invasive Surgery (MIS) navigation presents challenges including limited field-of-view and loss of 3D vision.
  • These limitations can lead to visual-spatial disorientation during complex in vivo procedures.
  • Current methods often lack real-time environmental modeling for enhanced navigation.

Purpose of the Study:

  • To present a novel approach for dynamic view expansion in MIS.
  • To facilitate improved in vivo navigation by building a 3D textured model of the surgical environment.
  • To address visual-spatial disorientation challenges faced by surgeons.

Main Methods:

  • A sequential 3D textured model is built dynamically as the laparoscope moves.

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  • The technique requires no prior knowledge of the surgical environment.
  • Validation performed using simulated data with ground truth and in vivo experiments.

    • Main Results:

    • The proposed dynamic view expansion successfully builds a 3D textured model of the MIS environment.
    • The method demonstrated effective facilitation of in vivo navigation.
    • Validation confirmed the accuracy of the generated models on simulated data.

    Conclusions:

    • Dynamic view expansion offers a promising solution for enhancing navigation in Minimally Invasive Surgery.
    • The developed technique can mitigate visual-spatial disorientation by providing a comprehensive 3D model.
    • The approach shows significant potential for clinical application in MIS procedures.