Visualization modality for augmented reality guidance of in-depth tumour enucleation procedures

IF 2.8 Q3 ENGINEERING, BIOMEDICAL
Nadia Cattari, Fabrizio Cutolo, Luciana La Placa, Vincenzo Ferrari
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引用次数: 0

Abstract

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).

Abstract Image

增强现实技术引导深度肿瘤去核手术的可视化模式
最近的研究报告称,采用可穿戴增强现实(AR)系统,如头戴式显示器,用于超声(US)图像的原位可视化,可以通过减少程序完成时间和提高准确性来改善US引导活检的结果。在这里,作者继续朝着最近的发展方向,并在美国的指导下提出了第一个用于指导深度肿瘤去核手术的AR系统。该系统具有创新的可视化模式,切割轨迹根据电动手术刀到达的深度“沉入”组织,实时跟踪,并且手术刀尖端和轨迹之间的虚拟对虚拟对齐。该系统具有较高的刀尖位置估计精度(平均深度误差为0.4 mm,平均径向误差为1.34 mm)。此外,我们通过初步的用户研究证明,我们的系统使我们能够成功地指导深度肿瘤去核手术(即保留病变周围的安全边界)。
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来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
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