Accuracy of the Hololens 2’s infrared cameras in the context of surgical navigation

Bachelor thesis (2022)

Authors

O. Omar Mohamed Hosny Mohamed Hussein Electrical Engineering, Mathematics and Computer Science

Contributors

Pierre Ambrosini Computer Graphics and Visualisation - EEMCS (mentor)
P. Ambrosini Computer Graphics and Visualisation - EEMCS (mentor)
Ricardo Marroquim Computer Graphics and Visualisation - EEMCS (mentor)
A. Hanjalic Intelligent Systems (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Omar Omar Mohamed Hosny Mohamed Hussein
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Published Date

22-06-2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Patient and instrument tracking are fundamental parts of surgical navigation systems. Traditional surgical navigation systems rely on stationary cameras for tracking and stationary screens for presenting information. An increased mental load is exerted by surgeons as they switch focus between the surgical site and the presented data. By projecting the required data on the patients anatomy, augmented reality surgical navigation would allow surgeons to navigate seamlessly during surgical procedures. In this paper, an augmented reality tracking algorithm for the Hololens 2 will be presented and tested against state of the art optical tracking. The algorithm is based on the use of reflective markers, which are extensively used in medical applications. An accuracy of 1.04mm was found in optimal conditions using the presented method. The presented tracking method is less accurate and less consistent than state of the art optical tracking methods with a minimum median accuracy of 25mm.

Files

Research_Paper_Final_Draft.pdf
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