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Model-based 3D Tracking for Augmented Orthopedic Surgery

4 pagesPublished: September 26, 2020

Abstract

Current surgical navigation systems offer sub-millimetric real-time localization, however they are expensive, require the use of invasive markers attached to the patient, and often add extra operation time. In this paper we propose an affordable markerless navigation approach, based on mid end depth sensors, as an alternative to answer medical applications needs in terms of accuracy and robustness. An algorithm called Fast Volumetric Reconstruction (FaVoR) implements a compute-efficient approach for real time 3D model registration based tracking, allowing computed 3D poses to be used for video scene augmentation. After early testing with a first proof-of-concept implementation, a preliminary accuracy evaluation was performed using a dynamic test bench, achieving an average 2mm registration error during tracking.

Keyphrases: Augmented Reality, depth sensor, Navigation, Patient Specific Instrument, Total knee arthroplasty, Tracking

In: Ferdinando Rodriguez Y Baena and Fabio Tatti (editors). CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 4, pages 197--200

Links:
BibTeX entry
@inproceedings{CAOS2020:Model_based_3D_Tracking_for,
  author    = {Albert Murienne and Boris Labb\textbackslash{}'e and Laurent Launay},
  title     = {Model-based 3D Tracking for Augmented Orthopedic Surgery},
  booktitle = {CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Ferdinando Rodriguez Y Baena and Fabio Tatti},
  series    = {EPiC Series in Health Sciences},
  volume    = {4},
  pages     = {197--200},
  year      = {2020},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {https://easychair.org/publications/paper/nVrp},
  doi       = {10.29007/v3nc}}
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