research-article

Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality

Authors:

Christina Gsaxner,

Dieter Schmalstieg,

Jan EggerAuthors Info & Claims

VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology

Article No.: 4, Pages 1 - 11

https://doi.org/10.1145/3489849.3489863

Published: 08 December 2021 Publication History

Abstract

Surgical navigation requires tracking of instruments with respect to the patient. Conventionally, tracking is done with stationary cameras, and the navigation information is displayed on a stationary display. In contrast, an augmented reality (AR) headset can superimpose surgical navigation information directly in the surgeon’s view. However, AR needs to track the headset, the instruments and the patient, often by relying on stationary infrastructure. We show that 6DOF tracking can be obtained without any stationary, external system by purely utilizing the on-board stereo cameras of a HoloLens 2 to track the same retro-reflective marker spheres used by current optical navigation systems. Our implementation is based on two tracking pipelines complementing each other, one using conventional stereo vision techniques, the other relying on a single-constraint-at-a-time extended Kalman filter. In a technical evaluation of our tracking approach, we show that clinically relevant accuracy of 1.70 mm/1.11° and real-time performance is achievable. We further describe an example application of our system for untethered end-to-end surgical navigation.

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cover image ACM Conferences

VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology

December 2021

563 pages

ISBN:9781450390927

DOI:10.1145/3489849

Editors:
Yuichi Itoh
Aoyama Gakuin University, Japan
,
Kazuki Takashima
Tohoku University, Japan
,
Parinya Punpongsanon
Osaka University, Japan
,
Misha Sra
University of California, Santa Barbara, USA
,
Kazuyuki Fujita
Tohoku University, Japan
,
Shigeo Yoshida
The University of Tokyo, Japan
,
Tham Piumsomboon
University of Canterbury, New Zealand

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December 8 - 10, 2021

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https://doi.org/10.1016/j.cmpb.2024.108470
Rieder MRemschmidt BGsaxner CGaessler JPayer MZemann WWallner J(2024)Augmented Reality-Guided Extraction of Fully Impacted Lower Third Molars Based on Maxillofacial CBCT ScansBioengineering10.3390/bioengineering1106062511:6(625)Online publication date: 18-Jun-2024
https://doi.org/10.3390/bioengineering11060625
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https://dl.acm.org/doi/10.24963/ijcai.2024/920
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