The contribution of grayscale cameras to the accuracy of surgical augmented reality goggles

Bachelor thesis (2022)

Authors

L. Franschman Electrical Engineering, Mathematics and Computer Science

Contributors

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 Lesley Franschman
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Published Date

22-06-2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

The way that surgeons currently use surgical navigation technology impacts their hand-eye coordination and their ability to view images and data critically. To tackle this issue Augmented Reality goggles, built from the HoloLens 2, have been developed specifically for the purpose of aiding surgeons during surgery and it is called: The HoloNav. Optical reflective spheres are commonly used to track surgical instruments. This research aims to find out if grayscale cameras could contribute to locating these spheres more accurately with the HoloNav. This is done by finding the spheres on the infrared images, reducing the search space on the grayscale images and finding the spheres on the reduced search spaces of the grayscale images. By triangulating those retrieved coordinates and comparing them with the optically tracked coordinates a conclusion can be drawn about the accuracy. The accuracy measured in this research is between 0.66 mm and 10.64 mm (mostly between 1.8 mm and 6.4 mm) depending on the frame. This is quite accurate and similar to the results from related work. With better image quality or different input conditions the accuracy could be improved even more.