Intraoperative gaze guidance with mixed reality

IF 2.8 Q3 ENGINEERING, BIOMEDICAL
Ayberk Acar, Jumanh Atoum, Amy Reed, Yizhou Li, Nicholas Kavoussi, Jie Ying Wu
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引用次数: 0

Abstract

Efficient communication and collaboration are essential in the operating room for successful and safe surgery. While many technologies are improving various aspects of surgery, communication between attending surgeons, residents, and surgical teams is still limited to verbal interactions that are prone to misunderstandings. Novel modes of communication can increase speed and accuracy, and transform operating rooms. A mixed reality (MR) based gaze sharing application on Microsoft HoloLens 2 headset that can help expert surgeons indicate specific regions, communicate with decreased verbal effort, and guide novices throughout an operation is presented. The utility of the application is tested with a user study of endoscopic kidney stone localization completed by urology experts and novice surgeons. Improvement is observed in the NASA task load index surveys (up to 25.23%), in the success rate of the task (6.98% increase in localized stone percentage), and in gaze analyses (up to 31.99%). The proposed application shows promise in both operating room applications and surgical training tasks.

Abstract Image

利用混合现实技术进行术中凝视引导
在手术室中,高效的沟通和协作对于手术的成功和安全至关重要。虽然许多技术正在改善手术的各个方面,但主治医生、住院医生和手术团队之间的沟通仍局限于口头交流,容易产生误解。新颖的交流模式可以提高速度和准确性,并改变手术室。本文介绍了微软 HoloLens 2 头显上基于混合现实(MR)的注视共享应用,该应用可帮助外科医生专家指示特定区域,减少语言交流,并在整个手术过程中指导新手。该应用的实用性通过泌尿外科专家和外科医生新手完成的内窥镜肾结石定位用户研究进行了测试。在 NASA 任务负荷指数调查(高达 25.23%)、任务成功率(定位结石百分比增加 6.98%)和凝视分析(高达 31.99%)方面都观察到了改进。建议的应用在手术室应用和手术培训任务中都大有可为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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