为头颈部癌症切除术开发增强现实引导系统

IF 2.8 Q3 ENGINEERING, BIOMEDICAL
Guansen Tong, Jiayi Xu, Michael Pfister, Jumanh Atoum, Kavita Prasad, Alexis Miller, Michael Topf, Jie Ying Wu
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引用次数: 0

摘要

近年来,头戴式增强现实技术(AR)在外科手术中的应用迅速发展。AR通过覆盖三维(3D)全息重建医疗数据来辅助术中手术导航。然而,在头部和颈部等复杂区域进行AR手术,在准确性和速度方面存在挑战。本研究探讨了AR引导系统在尸体标本中切除阳性肿瘤边缘的可行性。作者提出了一种术中解决方案,使外科医生能够上传和可视化切除尸体组织的全息重建。解决方案包括使用3D扫描仪捕获被切除组织的详细扫描,随后将其上传到我们的软件中。该软件将被切除组织的扫描图像转换成标本全息图,通过头戴式AR显示器可见。通过用手势或语音命令将这些全息图与尸体重新对齐,外科医生可以导航头颈部肿瘤部位。此工作流可以与冻结切片分析同时运行。平均而言,上传时间为2.98分钟,可视化时间为1.05分钟,重新定位时间为4.39分钟,而冷冻切片分析的典型时间为20至30分钟。作者实现了3.1 mm的平均重新对准误差。作者的软件为使用AR在手术中导航复杂的3D解剖提供了新的研究和产品开发基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of an augmented reality guidance system for head and neck cancer resection

Development of an augmented reality guidance system for head and neck cancer resection

The use of head-mounted augmented reality (AR) for surgeries has grown rapidly in recent years. AR aids in intraoperative surgical navigation through overlaying three-dimensional (3D) holographic reconstructions of medical data. However, performing AR surgeries on complex areas such as the head and neck region poses challenges in terms of accuracy and speed. This study explores the feasibility of an AR guidance system for resections of positive tumour margins in a cadaveric specimen. The authors present an intraoperative solution that enables surgeons to upload and visualize holographic reconstructions of resected cadaver tissues. The solution involves using a 3D scanner to capture detailed scans of the resected tissue, which are subsequently uploaded into our software. The software converts the scans of resected tissues into specimen holograms that are viewable through a head-mounted AR display. By re-aligning these holograms with cadavers with gestures or voice commands, surgeons can navigate the head and neck tumour site. This workflow can run concurrently with frozen section analysis. On average, the authors achieve an uploading time of 2.98 min, visualization time of 1.05 min, and re-alignment time of 4.39 min, compared to the 20 to 30 min typical for frozen section analysis. The authors achieve a mean re-alignment error of 3.1 mm. The authors’ software provides a foundation for new research and product development for using AR to navigate complex 3D anatomy in surgery.

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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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