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A systematic review of techniques used to validate the registration of AR images using a head-mounted device to navigate surgery

Published:October 06, 2022DOI:https://doi.org/10.1016/j.bjoms.2022.08.007

      Abstract

      Background

      Augmented Reality (AR) Head Mounted Devices (HMD) allow the wearer to have digital images superposed onto their field of vision. It is being used to superpose annotations onto the surgical field akin to a navigation system. This review examines the published validation studies on HMD-AR systems, their reported protocols and outcomes. The aim is to establish commonalities and an acceptable registration outcome.

      Materials and Methods

      Multiple databases were systematically searched for relevant articles between January 2015 and January 2021. Studies examining registration of AR content, using a HMD to guide surgery were eligible for inclusion. The country of origin, year of publication, medical speciality, HMD device, software, method of registration were recorded. A meta-analysis of the mean registration error was calculated.

      Results

      4784 papers were identified, of which 23 met the inclusion criteria. This included studies using Hololens (22) and nVisor ST60 (1). 66% of studies were in hard tissue specialities. Eleven studies reported registration error using pattern markers (mean 2.6mm SD1.8mm). Four studies reported registration error in studies using surface markers (mean 3.8mm SD3.7mm). Three studies reported registration error using manual alignment (mean 2.2mm SD1.3mm).

      Conclusions

      The majority of studies in this review used in-house software with a variety of registration methods and reported errors. The mean registration error calculated in this study can be considered as a minimum acceptable standard. It should be taken into consideration when procedural applications are selected.

      Keywords

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