Shah Bijoy, Xu Wanxin, Bartholomew Ryan A, Ben-Shlomo Nir, Zhang Angela, Fan Guoxin, Unadkat Prashin, Ziaei Alireza, Zhou Haoyin, Guenette Jeffrey P, Corrales Carleton Eduardo, Jagadeesan Jayender
Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Division of Otolaryngology, Brigham and Women's Hospital, Boston, MA, USA.
Ann Otol Rhinol Laryngol. 2025 Jun 19:34894251347459. doi: 10.1177/00034894251347459.
To design and validate an augmented reality application for identification of temporal bone anatomy.
The anatomy of the temporal bone is highly complex and can present challenges for operative planning and for education of both patients and medical trainees.
An augmented reality application for visualization and identification of temporal bone anatomy in 3D was developed using Slicer, OpenGL, and Angle libraries on the Augmented Reality on Microsoft HoloLens (AR-MH). A total of 14 physicians, including 7 otolaryngologists (4 trainees and 3 attendings) and 7 radiologists (4 trainees and 3 attendings), participated in this study to visualize temporal bone structures using 2D CT imaging, 3D CT model visualization on a monitor, and AR-MH. Quantitative metrics to compare the users' performance between modalities included time taken to identify structures, accuracy of identification, and the NASA Task Load Index.
The rendering rate for individual models was 60 fps, excluding the temporal bone model. The mean time for participants to identify 16 structures was 3:04 minutes on 2D, 2:02 minutes on 3D, and 2:09 minutes on AR-MH. The adjusted accuracy of identifying structures was 89.0% on 2D, 93.2% on 3D, and 91.6% on AR-MH. Mean NASA-TLX values showed no significant difference in workload metrics between modalities. Visualization of anatomy in 3D (either on a monitor or via AR-MH) resulted in greater speed and accuracy of anatomy identification for trainees but not attendings.
Augmented reality provides a means of intuitively visualizing temporal bone anatomy which may function as an effective tool for surgical planning and education, particularly for novices.
设计并验证一款用于识别颞骨解剖结构的增强现实应用程序。
颞骨解剖结构高度复杂,给手术规划以及患者和医学实习生的教育带来挑战。
利用Slicer、OpenGL和Angle库,在微软HoloLens的增强现实(AR-MH)平台上开发了一款用于可视化和识别3D颞骨解剖结构的增强现实应用程序。共有14名医生参与了本研究,其中包括7名耳鼻喉科医生(4名实习生和3名主治医师)和7名放射科医生(4名实习生和3名主治医师),他们使用二维CT成像、监视器上的3D CT模型可视化以及AR-MH来可视化颞骨结构。比较不同模式下用户表现的定量指标包括识别结构所需时间、识别准确性以及美国国家航空航天局任务负荷指数。
不包括颞骨模型,单个模型的渲染速率为60帧/秒。参与者识别16个结构的平均时间在二维模式下为3分04秒,在三维模式下为2分02秒,在AR-MH模式下为2分09秒。识别结构的校正准确率在二维模式下为89.0%,在三维模式下为93.2%,在AR-MH模式下为91.6%。美国国家航空航天局任务负荷指数的平均值显示,不同模式下的工作量指标没有显著差异。三维解剖结构可视化(无论是在监视器上还是通过AR-MH)提高了实习生识别解剖结构的速度和准确性,但对主治医师没有影响。
增强现实提供了一种直观可视化颞骨解剖结构的方法,可作为手术规划和教育的有效工具,特别是对新手而言。