Chan Harley H L, Haerle Stephan K, Daly Michael J, Zheng Jinzi, Philp Lauren, Ferrari Marco, Douglas Catriona M, Irish Jonathan C
TECHNA Institute, University Health Network, Toronto, ON, Canada.
Center for Head and Neck Surgical Oncology and Reconstructive Surgery, Hirslanden Clinic, Lucerne, Switzerland.
PLoS One. 2021 Apr 30;16(4):e0250558. doi: 10.1371/journal.pone.0250558. eCollection 2021.
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 <1mm.
一种集成增强现实（AR）手术导航系统，有望改善术中对隐蔽解剖结构的可视化。实时跟踪技术与激光微型投影仪的集成，通过投射由多模态成像创建的病变和关键结构的虚拟图像，使手术表面得到增强。我们旨在通过一系列临床前研究，对原型交互式AR手术导航系统的性能进行定量和定性评估。使用异种移植小鼠模型进行了四项临床前动物研究，以研究系统性能。在图像引导手术过程中，结合使用CT、PET、SPECT和MRI图像对小鼠身体进行增强，以评估可行性。使用具有加工特征的体模来定量估计系统精度。所有图像引导手术均成功完成。跟踪的微型投影仪在动物身体上正确且可靠地描绘了虚拟图像，突出了肿瘤和解剖结构的位置。体模研究表明该系统的精度为0.55±0.33毫米。本文介绍了一种原型实时跟踪AR手术导航系统，该系统通过将虚拟图像叠加到手术部位来改善对潜在关键结构的可视化。这项概念验证临床前研究证明了该系统的临床适用性和高精度，该系统的精度被认为小于1毫米。
