计算机科学
形势意识
帧速率
虚拟病人
虚拟现实
帧(网络)
人机交互
计算机视觉
医学
人工智能
工程类
电信
医学教育
航空航天工程
作者
Hongchao Shu,Ruixing Liang,Zhaoshuo Li,Anna Goodridge,Xiangyu Zhang,Hao Ding,Nimesh Nagururu,Manish Sahu,Francis X. Creighton,Russell H. Taylor,Adnan Munawar,Mathias Unberath
标识
DOI:10.1007/s11548-023-02863-9
摘要
Digital twins are virtual replicas of real-world objects and processes, and they have potential applications in the field of surgical procedures, such as enhancing situational awareness. We introduce Twin-S, a digital twin framework designed specifically for skull base surgeries.Twin-S is a novel framework that combines high-precision optical tracking and real-time simulation, making it possible to integrate it into image-guided interventions. To guarantee accurate representation, Twin-S employs calibration routines to ensure that the virtual model precisely reflects all real-world processes. Twin-S models and tracks key elements of skull base surgery, including surgical tools, patient anatomy, and surgical cameras. Importantly, Twin-S mirrors real-world drilling and updates the virtual model at frame rate of 28.Our evaluation of Twin-S demonstrates its accuracy, with an average error of 1.39 mm during the drilling process. Our study also highlights the benefits of Twin-S, such as its ability to provide augmented surgical views derived from the continuously updated virtual model, thus offering additional situational awareness to the surgeon.We present Twin-S, a digital twin environment for skull base surgery. Twin-S captures the real-world surgical progresses and updates the virtual model in real time through the use of modern tracking technologies. Future research that integrates vision-based techniques could further increase the accuracy of Twin-S.
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