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

被引:27
作者
Chan, Harley H. L. [1 ]
Haerle, Stephan K. [2 ]
Daly, Michael J. [1 ]
Zheng, Jinzi [1 ]
Philp, Lauren [3 ,4 ]
Ferrari, Marco [1 ,5 ,6 ]
Douglas, Catriona M. [1 ,5 ,7 ]
Irish, Jonathan C. [1 ,5 ,7 ]
机构
[1] Univ Hlth Network, TECHNA Inst, Toronto, ON, Canada
[2] Hirslanden Clin, Ctr Head & Neck Surg Oncol & Reconstruct Surg, Luzern, Switzerland
[3] Univ Toronto, Inst Med Sci, Toronto, ON, Canada
[4] Univ Toronto, Dept Obstet & Gynecol, Toronto, ON, Canada
[5] Univ Toronto, Dept Otolaryngol Head & Neck Surg, Toronto, ON, Canada
[6] Univ Brescia, Unit Otorhinolaryngol Head & Neck Surg, Brescia, Italy
[7] Univ Hlth Network, Princess Margaret Canc Ctr, Dept Surg Oncol, Toronto, ON, Canada
来源
PLOS ONE | 2021年 / 16卷 / 04期
关键词
BEAM COMPUTED-TOMOGRAPHY; RESECTION MARGINS; SYSTEM; SURGERY; HEAD; TECHNOLOGY; ACCURACY; OVERLAY; CANCER;
D O I
10.1371/journal.pone.0250558
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:14
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