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首页> 外文期刊>neurosurgical focus >Three-dimensional–printed marker–based augmented reality neuronavigation: a new neuronavigation technique
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Three-dimensional–printed marker–based augmented reality neuronavigation: a new neuronavigation technique

机译：基于三维打印标记的增强现实神经导航：一种新的神经导航技术

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OBJECTIVE The aim of this study was to assess the precision and feasibility of 3D-printed marker–based augmented reality (AR) neurosurgical navigation and its use intraoperatively compared with optical tracking neuronavigation systems (OTNSs). METHODS Three-dimensional–printed markers for CT and MRI and intraoperative use were applied with mobile devices using an AR light detection and ranging (LIDAR) camera. The 3D segmentations of intracranial tumors were created with CT and MR images, and preoperative registration of the marker and pathology was performed. A patient-specific, surgeon-facilitated mobile application was developed, and a mobile device camera was used for neuronavigation with high accuracy, ease, and cost-effectiveness. After accuracy values were preliminarily assessed, this technique was used intraoperatively in 8 patients. RESULTS The mobile device LIDAR camera was found to successfully overlay images of virtual tumor segmentations according to the position of a 3D-printed marker. The targeting error that was measured ranged from 0.5 to 3.5 mm (mean 1.70 ± 1.02 mm, median 1.58 mm). The mean preoperative preparation time was 35.7 ± 5.56 minutes, which is longer than that for routine OTNSs, but the amount of time required for preoperative registration and the placement of the intraoperative marker was very brief compared with other neurosurgical navigation systems (mean 1.02 ± 0.3 minutes). CONCLUSIONS The 3D-printed marker–based AR neuronavigation system was a clinically feasible, highly precise, low-cost, and easy-to-use navigation technique. Three-dimensional segmentation of intracranial tumors was targeted on the brain and was clearly visualized from the skin incision to the end of surgery.
机译：目的 本研究的目的是评估基于3D打印标记的增强现实（AR）神经外科导航及其与光学跟踪神经导航系统（OTNS）在术中的应用的精度和可行性。方法 使用 AR 光探测和测距 （LIDAR） 相机将用于 CT 和 MRI 以及术中使用的三维打印标记应用于移动设备。利用CT和MR图像创建颅内肿瘤的3D分割，并进行标志物和病理学的术前配准。开发了一个针对特定患者、外科医生协助的移动应用程序，并使用移动设备摄像头进行神经导航，具有高精度、易用性和成本效益。在初步评估准确度值后，该技术在 8 例患者中术中使用。结果 发现移动设备激光雷达相机能够根据 3D 打印标记物的位置成功叠加虚拟肿瘤分割图像。测得的瞄准误差范围为 0.5 至 3.5 毫米（平均 1.70 ± 1.02 毫米，中位数 1.58 毫米）。平均术前准备时间为 35.7 ± 5.56 分钟，比常规 OTNS 更长，但与其他神经外科导航系统相比，术前登记和术中标记物放置所需的时间非常短（平均 1.02 ± 0.3 分钟）。结论 基于3D打印标记的AR神经导航系统是一种临床上可行、高精度、低成本、易用的导航技术。颅内肿瘤的三维分割以大脑为靶点，从皮肤切口到手术结束清晰可见。

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