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

机译:飞行时间相机技术可增强计算机辅助干预的真实性

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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:用于增强术中图像的增强现实(AR)在导航医疗干预领域中越来越引起人们的兴趣。在这种情况下,已经应用了各种成像方式,例如超声(US),C-Arm计算机断层扫描(CT)和内窥镜图像,以获取有关患者解剖结构的术中信息。本文的目的是评估新型飞行时间(ToF)相机技术作为无标记术中配准手段的潜力。为此目的,ToF范围数据和相应的CT图像是从一组带有一组用作目标的标记物的不可移植的人和猪器官中获取的。基于从ToF图像生成的表面与从CT数据生成的器官表面的严格匹配,将从计划图像提取的目标叠加在2D ToF强度图像上,并计算目标可视化误差(TVE)为质量衡量。相同器官的彩色视频数据还用于评估先前提出的基于标记的注册方法的TVE。基于ToF的配准显示出令人鼓舞的准确性,与基于标记的方法相比,平均TVE为2.5±1.1 mm,而平均TVE为0.7±0.4 mm。此外,评估目标配准误差(TRE)以确定ToF图像数据定位误差中的各向异性。 TRE平均为8.9±4.7 mm,表明在相机观看方向上存在很高的定位误差。然而,年轻的ToF技术可能会成为术中获取表面的一种有价值的手段。未来的工作应集中在系统距离误差的校准上。

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