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An integrated augmented reality surgical navigation platform using multi-modality imaging for guidance

Authors :
Jonathan C. Irish
Catriona M. Douglas
Lauren Philp
Harley H.L. Chan
Stephan K. Haerle
Michael J. Daly
Jinzi Zheng
Marco Ferrari
Source :
PLoS ONE, PLoS ONE, Vol 16, Iss 4, p e0250558 (2021)
Publication Year :
2021
Publisher :
Public Library of Science, 2021.

Abstract

An integrated augmented reality (AR) surgical navigation system that potentially improves intra-operative visualization of concealed anatomical structures. Integration of real-time tracking technology with a laser pico-projector allows the surgical surface to be augmented by projecting virtual images of lesions and critical structures created by multimodality imaging. We aim to quantitatively and qualitatively evaluate the performance of a prototype interactive AR surgical navigation system through a series of pre-clinical studies. Four pre-clinical animal studies using xenograft mouse models were conducted to investigate system performance. A combination of CT, PET, SPECT, and MRI images were used to augment the mouse body during image-guided procedures to assess feasibility. A phantom with machined features was employed to quantitatively estimate the system accuracy. All the image-guided procedures were successfully performed. The tracked pico-projector correctly and reliably depicted virtual images on the animal body, highlighting the location of tumour and anatomical structures. The phantom study demonstrates the system was accurate to 0.55 ± 0.33mm. This paper presents a prototype real-time tracking AR surgical navigation system that improves visualization of underlying critical structures by overlaying virtual images onto the surgical site. This proof-of-concept pre-clinical study demonstrated both the clinical applicability and high precision of the system which was noted to be accurate to

Details

Language :
English
Database :
OpenAIRE
Journal :
PLoS ONE, PLoS ONE, Vol 16, Iss 4, p e0250558 (2021)
Accession number :
edsair.doi.dedup.....348c841e4c61a473ed9f23a9ca4561ba