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Time-of-Flight Camera Technique for Augmented Reality in Computer-Assisted Interventions

机译:在计算机辅助干预措施中增加现实的飞行时间摄像机技术

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Augmented reality (AR) for enhancement of intra-operative images is gaining increasing interest in the field of navigated medical interventions. In this context, various imaging modalities such as ultrasound (US), C-Arm computed tomography (CT) and endoscopic images have been applied to acquire intra-operative information about the patient's anatomy. The aim of this paper was to evaluate the potential of the novel Time-of-Flight (ToF) camera technique as means for markerless intra-operative registration. For this purpose, ToF range data and corresponding CT images were acquired from a set of explanted non-transplantable human and porcine organs equipped with a set of marker that served as targets. Based on a rigid matching of the surfaces generated from the ToF images with the organ surfaces generated from the CT data, the targets extracted from the planning images were superimposed on the 2D ToF intensity images, and the target visualization error (TVE) was computed as quality measure. Color video data of the same organs were further used to assess the TVE of a previously proposed marker-based registration method. The ToF-based registration showed promising accuracy yielding a mean TVE of 2.5 ± 1.1 mm compared to 0.7 ± 0.4 mm with the marker-based approach. Furthermore, the target registration error (TRE) was assessed to determine the anisotropy in the localization error of ToF image data. The TRE was 8.9 ± 4.7 mm on average indicating a high localization error in the viewing direction of the camera. Nevertheless, the young ToF technique may become a valuable means for intra-operative surface acquisition. Future work should focus on the calibration of systematic distance errors.
机译:增强现实(AR)用于增强术中的术语图像正在增加导航医疗干预领域的兴趣。在这种情况下,已经应用了诸如超声(US),C-ARM计算断层扫描(CT)和内窥镜图像的各种成像模式以获取有关患者解剖结构的操作内信息。本文的目的是评估新的飞行时间(TOF)相机技术的潜力,作为无标记无际术中登记的手段。为此目的,从配备有一组用于靶标的一组标记的一组脱盐的不可移植的人和猪器官获取TOF范围数据和相应的CT图像。基于与器官表面从CT数据生成从所述的ToF图像生成的表面的刚性匹配,从规划图像中提取的目标被叠加在二维的ToF强度图像,并且目标的可视化误差(TVE)被计算为质量措施。相同器官的彩色视频数据进一步用于评估先前提出的基于标记的登记方法的TVE。基于TOF的注册表明,有希望的准确度,其平均值为2.5±1.1mm,与基于标记的方法的0.7±0.4 mm相比。此外,评估目标登记误差(TRE)以确定TOF图像数据的定位误差中的各向异性。平均TRE为8.9±4.7毫米,指示相机的观察方向上的高定位误差。然而,年轻的TOF技术可能成为术中术中表面采集的宝贵手段。未来的工作应专注于系统距离误差的校准。

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