Zhou Yaxuan, Yoo Paul, Feng Yingru, Sankar Aditya, Sadr Alireza, Seibel Eric J
Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, USA.
Human Photonics Lab, Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.
Healthc Technol Lett. 2019 Nov 26;6(6):243-248. doi: 10.1049/htl.2019.0082. eCollection 2019 Dec.
Untreated dental decay is the most prevalent dental problem in the world, affecting up to 2.4 billion people and leading to a significant economic and social burden. Early detection can greatly mitigate irreversible effects of dental decay, avoiding the need for expensive restorative treatment that forever disrupts the enamel protective layer of teeth. However, two key challenges exist that make early decay management difficult: unreliable detection and lack of quantitative monitoring during treatment. New optically based imaging through the enamel provides the dentist a safe means to detect, locate, and monitor the healing process. This work explores the use of an augmented reality (AR) headset to improve the workflow of early decay therapy and monitoring. The proposed workflow includes two novel AR-enabled features: (i) in situ visualisation of pre-operative optically based dental images and (ii) augmented guidance for repetitive imaging during therapy monitoring. The workflow is designed to minimise distraction, mitigate hand-eye coordination problems, and help guide monitoring of early decay during therapy in both clinical and mobile environments. The results from quantitative evaluations as well as a formative qualitative user study uncover the potentials of the proposed system and indicate that AR can serve as a promising tool in tooth decay management.
未经治疗的龋齿是全球最普遍的牙齿问题,影响多达24亿人,并导致巨大的经济和社会负担。早期检测可以极大地减轻龋齿的不可逆影响,避免进行会永久性破坏牙齿釉质保护层的昂贵修复治疗。然而,存在两个关键挑战使得早期龋齿管理变得困难:检测不可靠以及治疗期间缺乏定量监测。通过牙釉质进行的新型光学成像为牙医提供了一种安全的手段来检测、定位和监测愈合过程。这项工作探索了使用增强现实(AR)头戴式设备来改善早期龋齿治疗和监测的工作流程。所提出的工作流程包括两个基于AR的新功能:(i)术前光学牙齿图像的原位可视化,以及(ii)治疗监测期间重复成像的增强引导。该工作流程旨在尽量减少干扰,缓解手眼协调问题,并有助于在临床和移动环境中指导治疗期间的早期龋齿监测。定量评估以及一项形成性定性用户研究的结果揭示了所提出系统的潜力,并表明AR可以成为龋齿管理中的一种有前景的工具。