首页> 外文会议>Conference on Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling >Comparison of Head Pose Tracking Methods for Mixed-reality Neuronavigation for Transcranial Magnetic Stimulation
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Comparison of Head Pose Tracking Methods for Mixed-reality Neuronavigation for Transcranial Magnetic Stimulation

机译:经颅磁刺激混合现实神经导航的头部姿势追踪方法比较

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Purpose: Repetitive Transcranial Magnetic Stimulation (rTMS) is an important treatment option for medication resistant depression. It uses an electromagnetic coil that needs to be positioned accurately at a specific location and angle next- to the head such that specific brain areas are stimulated. Existing image-guided neuronav-igation systems allow accurate targeting but, add cost, training and setup times, preventing their wide-spread use in the clinic. Mixed-reality neuronavigation can help mitigate these issues and thereby enable more widespread use of image-based neuronavigation by providing a much more intuitive and streamlined visualization of the target. A mixed-reality neuronavigation system requires two core functionalities: 1) tracking of the patients head and 2) visualization of targeting-related information. Here we focus on the head tracking functionality and compare three different head tracking methods for a mixed-reality neuronavigation system. Methods: We integrated three head tracking methods into the mixed reality neuronavigation framework and measured their accuracy. Specifically, we experimented with (a) marker-based tracking with a mixed reality headset (optical see-through head-mounted display (OST-HMD)) camera, (b) marker-based tracking with a world-anchored camera and (c) markerless RGB-depth (RGB-D) tracking with a world-anchored camera. To measure the accuracy of each approach, we measured the distance between real-world and virtual target points on a mannequin head. Results: The mean tracking error for the initial head pose and the head rotated by 10° and 30° for the three methods respectively was: (a) 3.54±1.10 mm, 3.79±1.78 nun and 4.08±1.88 mm, (b) 3.97±1.41 mm, 6.01±2.51 mm and 6.84±3.48 mm, (c) 3.16±2.26 mm, 4.46±2.30 mm and 5.83±3.70 mm. Conclusion: For the initial head pose, all three methods achieved the required accuracy of < 5 mm for TMS treatment. For smaller head rotations of 10°, only the marker-based (a) and markerless method (c) delivered sufficient accuracy for TMS treatment. For larger head rotations of 30°, only the marker-based method (a) achieved sufficient accuracy. While the markerless method (c) did not provide sufficient accuracy for TMS at the larger head rotations, it offers significant advantages such as occlusion-handling and stability and could potentially meet the accuracy requirements with further methodological refinements.
机译:目的:重复经颅磁刺激(rTMS)是抗药性抑郁症的重要治疗选择。它使用电磁线圈,该电磁线圈需要准确地定位在靠近头部的特定位置和角度,以刺激特定的大脑区域。现有的图像引导神经导航系统可以实现精确的目标定位,但会增加成本,培训和设置时间,从而阻止了它们在临床中的广泛使用。混合现实神经导航可以帮助减轻这些问题,从而通过提供目标的更加直观和简化的可视化,从而使基于图像的神经导航得到更广泛的使用。混合现实神经导航系统需要两个核心功能:1)追踪患者头部和2)可视化与目标相关的信息。在这里,我们专注于头部跟踪功能,并比较混合现实神经导航系统的三种不同的头部跟踪方法。方法:我们将三种头部跟踪方法集成到了混合现实神经导航框架中,并测量了它们的准确性。具体来说,我们进行了以下实验:(a)使用混合现实耳机(光学透视头戴式显示器(OST-HMD))摄像头进行基于标记的跟踪,(b)使用世界定位的摄像头进行基于标记的跟踪,以及(c )使用世界锚定的相机进行无标记RGB深度(RGB-D)跟踪。为了衡量每种方法的准确性,我们测量了人体模型头上真实世界与虚拟目标点之间的距离。结果:三种方法的初始头部姿势和头部旋转10°和30°的平均跟踪误差分别为:(a)3.54±1.10 mm,3.79±1.78 nun和4.08±1.88 mm,(b)3.97 ±1.41毫米,6.01±2.51毫米和6.84±3.48毫米,(c)3.16±2.26毫米,4.46±2.30毫米和5.83±3.70毫米。结论:对于最初的头部姿势,这三种方法均达到了TMS治疗所需的<5 mm的精度。对于较小的10°头部旋转,只有基于标记的方法(a)和无标记的方法(c)可以为TMS治疗提供足够的准确性。对于较大的30°头部旋转,只有基于标记的方法(a)才能达到足够的精度。尽管无标记方法(c)在较大的头部旋转时不能为TMS提供足够的精度,但它具有显着的优势,例如遮挡处理和稳定性,并且可能通过进一步的方法改进来满足精度要求。

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