Cattari Nadia, Cutolo Fabrizio, Placa Luciana La, Ferrari Vincenzo
Department of Information Engineering University of Pisa Pisa Tuscany Italy.
EndoCAS Centre University of Pisa Pisa Tuscany Italy.
Healthc Technol Lett. 2023 Dec 3;11(2-3):101-107. doi: 10.1049/htl2.12058. eCollection 2024 Apr-Jun.
Recent research studies reported that the employment of wearable augmented reality (AR) systems such as head-mounted displays for the in situ visualisation of ultrasound (US) images can improve the outcomes of US-guided biopsies through reduced procedure completion times and improved accuracy. Here, the authors continue in the direction of recent developments and present the first AR system for guiding an in-depth tumour enucleation procedure under US guidance. The system features an innovative visualisation modality with cutting trajectories that 'sink' into the tissue according to the depth reached by the electric scalpel, tracked in real-time, and a virtual-to-virtual alignment between the scalpel's tip and the trajectory. The system has high accuracy in estimating the scalpel's tip position (mean depth error of 0.4 mm and mean radial error of 1.34 mm). Furthermore, we demonstrated with a preliminary user study that our system allowed us to successfully guide an in-depth tumour enucleation procedure (i.e. preserving the safety margin around the lesion).
最近的研究报告称,使用可穿戴式增强现实(AR)系统,如头戴式显示器来对超声(US)图像进行原位可视化,可以通过缩短手术完成时间和提高准确性来改善超声引导活检的结果。在此,作者延续了近期的发展方向,展示了首个用于在超声引导下进行深入肿瘤摘除手术的AR系统。该系统具有一种创新的可视化模式,其切割轨迹会根据电刀到达的深度“沉入”组织,并实时跟踪,且手术刀尖端与轨迹之间存在虚拟到虚拟的对齐。该系统在估计手术刀尖端位置方面具有很高的准确性(平均深度误差为0.4毫米,平均径向误差为1.34毫米)。此外,我们通过一项初步的用户研究证明,我们的系统能够成功引导深入的肿瘤摘除手术(即保留病变周围的安全 margins)。