Literature DB >> 33073908

HoloYolo: A proof-of-concept study for marker-less surgical navigation of spinal rod implants with augmented reality and on-device machine learning.

Marco von Atzigen1,2, Florentin Liebmann1,2, Armando Hoch1,3, David E Bauer3, Jess Gerrit Snedeker2,3, Mazda Farshad3, Philipp Fürnstahl1.   

Abstract

BACKGROUND: Existing surgical navigation approaches of the rod bending procedure in spinal fusion rely on optical tracking systems that determine the location of placed pedicle screws using a hand-held marker.
METHODS: We propose a novel, marker-less surgical navigation proof-of-concept to bending rod implants. Our method combines augmented reality with on-device machine learning to generate and display a virtual template of the optimal rod shape without touching the instrumented anatomy. Performance was evaluated on lumbosacral spine phantoms against a pointer-based navigation benchmark approach and ground truth data obtained from computed tomography.
RESULTS: Our method achieved a mean error of 1.83 ± 1.10 mm compared to 1.87 ± 1.31 mm measured in the marker-based approach, while only requiring 21.33 ± 8.80 s as opposed to 36.65 ± 7.49 s attained by the pointer-based method.
CONCLUSION: Our results suggests that the combination of augmented reality and machine learning has the potential to replace conventional pointer-based navigation in the future.
© 2020 John Wiley & Sons Ltd.

Keywords:  augmented reality; machine learning; object detection; rod bending; spinal fusion; surgical navigation

Year:  2020        PMID: 33073908     DOI: 10.1002/rcs.2184

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  2 in total

1.  Validation of an RF Image System for Real-Time Tracking Neurosurgical Tools.

Authors:  Carolina Blanco-Angulo; Andrea Martínez-Lozano; Carlos G Juan; Roberto Gutiérrez-Mazón; Julia Arias-Rodríguez; Ernesto Ávila-Navarro; José M Sabater-Navarro
Journal:  Sensors (Basel)       Date:  2022-05-19       Impact factor: 3.847

Review 2.  Spine Surgery Assisted by Augmented Reality: Where Have We Been?

Authors:  Yanting Liu; Min-Gi Lee; Jin-Sung Kim
Journal:  Yonsei Med J       Date:  2022-04       Impact factor: 2.759

  2 in total

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