混合现实引导根管治疗

IF 2.8 Q3 ENGINEERING, BIOMEDICAL
Fangjie Li, Qingying Gao, Nengyu Wang, Nicholas Greene, Tianyu Song, Omid Dianat, Ehsan Azimi
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引用次数: 0

摘要

根管治疗(RCT)是牙科中广泛使用的一种治疗方法,每年有超过 2500 万人接受这种治疗。进行这种治疗是为了解决受影响牙齿根管系统内的炎症或感染问题。然而,将 CT 扫描信息与患者的牙齿准确对齐一直是个难题,导致工具定位错误和潜在的负面结果。为了克服这些挑战,我们使用光学透视头戴式显示器(OST-HMD)开发了一种混合现实应用。该应用结合了视觉提示、增强镜和动态更新的多视角 CT 切片,以解决深度知觉问题,并在 RCT 过程中实现准确的牙齿定位、全面的牙道探查和穿孔预防。通过初步实验评估,观察到手术的准确性有了显著提高。具体而言,使用该系统后,使用光学跟踪仪(NDI)定位的准确度从 1.4 毫米提高到 0.4 毫米(提高了 70% 以上),使用 HMD 定位的准确度从 2.8 毫米提高到 2.4 毫米,从而实现了 NDI 的亚毫米级准确度。6 名参与者参加了用户研究。研究结果表明,牙冠平面上的平均位移为 1.27 ± 0.83 厘米,平均深度误差为 0.90 ± 0.72 厘米,平均角度偏差为 1.83 ± 0.83°。我们的误差分析进一步突出了 HMD 空间定位和头部运动对配准和校准过程的影响。通过将 CT 图像信息与患者的牙齿无缝整合,我们的混合现实应用可帮助牙医实现精确的工具放置。这项技术的进步有可能提高根管治疗的质量,确保更好的准确性并提高整体治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mixed reality guided root canal therapy

Mixed reality guided root canal therapy

Root canal therapy (RCT) is a widely performed procedure in dentistry, with over 25 million individuals undergoing it annually. This procedure is carried out to address inflammation or infection within the root canal system of affected teeth. However, accurately aligning CT scan information with the patient's tooth has posed challenges, leading to errors in tool positioning and potential negative outcomes. To overcome these challenges, a mixed reality application is developed using an optical see-through head-mounted display (OST-HMD). The application incorporates visual cues, an augmented mirror, and dynamically updated multi-view CT slices to address depth perception issues and achieve accurate tooth localization, comprehensive canal exploration, and prevention of perforation during RCT. Through the preliminary experimental assessment, significant improvements in the accuracy of the procedure are observed. Specifically, with the system the accuracy in position was improved from 1.4 to 0.4 mm (more than a 70% gain) using an Optical Tracker (NDI) and from 2.8 to 2.4 mm using an HMD, thereby achieving submillimeter accuracy with NDI. 6 participants were enrolled in the user study. The result of the study suggests that the average displacement on the crown plane of 1.27 ± 0.83 cm, an average depth error of 0.90 ± 0.72 cm and an average angular deviation of 1.83 ± 0.83°. Our error analysis further highlights the impact of HMD spatial localization and head motion on the registration and calibration process. Through seamless integration of CT image information with the patient's tooth, our mixed reality application assists dentists in achieving precise tool placement. This advancement in technology has the potential to elevate the quality of root canal procedures, ensuring better accuracy and enhancing overall treatment outcomes.

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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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