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Feasibility of image-based augmented reality guidance of total shoulder arthroplasty using microsoft HoloLens 1

Authors :
Gu, Wenhao
Shah, Kinjal
Knopf, Jonathan
Navab, Nassir
Unberath, Mathias
Source :
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization; May 2021, Vol. 9 Issue: 3 p261-270, 10p
Publication Year :
2021

Abstract

ABSTRACTTotal Shoulder Arthroplasty (TSA) is a shoulder replacement procedure to treat severe rotator cuff deficiency, primarily caused by osteoarthritis in elderly patients. One of the critical factors in reducing postoperative complications is accurate drilling of a centring hole on the glenoid surface at a precise position and orientation. While the drilling path is planned pre-operatively on 3D diagnostic images, the absence of visual guidance during surgery can lead to low reproducibility. In this paper, we present the design and feasibility analysis of a marker-less image-based registration pipeline using the Microsoft HoloLens 1 and its built-in sensors to guide glenoid drilling during TSA. Our solution intra-operatively registers the pre-operative 3D scan to the exposed glenoid surface both with and without occlusion. Our results provide a breakdown of the sources contributing to registration error. In addition to the commonly discussed errors (SLAM-based head tracking, partial overlap etc.), we find that the poor performance of the depth sensing camera becomes a major source of error. We further find that partial overlap between the source and target remains a large concern for registration in high occlusion scenarios. This work begins to characterise the depth sensor error and suggests future work towards image-based augmented reality guidance.

Details

Language :
English
ISSN :
21681163 and 21681171
Volume :
9
Issue :
3
Database :
Supplemental Index
Journal :
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Publication Type :
Periodical
Accession number :
ejs57220776
Full Text :
https://doi.org/10.1080/21681163.2020.1835556