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

Gu W, Shah K, Knopf J, Navab N, Unberath M (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization Taylor & Francis

Book Volume: 9

Pages Range: 261-270

Journal Issue: 3

DOI: 10.1080/21681163.2020.1835556

Abstract

Total 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.

Involved external institutions

Johns Hopkins University (JHU) US United States (USA) (US) Arthrex / Arthroscopy Excision Instruments Inc US United States (USA) (US)

How to cite

APA:

Gu, W., Shah, K., Knopf, J., Navab, N., & Unberath, M. (2021). Feasibility of image-based augmented reality guidance of total shoulder arthroplasty using microsoft HoloLens 1. Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization, 9(3), 261-270. https://dx.doi.org/10.1080/21681163.2020.1835556

MLA:

Gu, Wenhao, et al. "Feasibility of image-based augmented reality guidance of total shoulder arthroplasty using microsoft HoloLens 1." Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization 9.3 (2021): 261-270.

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