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Comparative analysis of respiratory motion tracking using Microsoft Kinect v2 sensor

机译:使用Microsoft Kinect v2传感器进行呼吸运动跟踪的比较分析

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Purpose To present and evaluate a straightforward implementation of a marker‐less, respiratory motion‐tracking process utilizing Kinect v2 camera as a gating tool during 4DCT or during radiotherapy treatments. Methods Utilizing the depth sensor on the Kinect as well as author written C# code, respiratory motion of a subject was tracked by recording depth values obtained at user selected points on the subject, with each point representing one pixel on the depth image. As a patient breathes, specific anatomical points on the chest/abdomen will move slightly within the depth image across pixels. By tracking how depth values change for a specific pixel, instead of how the anatomical point moves throughout the image, a respiratory trace can be obtained based on changing depth values of the selected pixel. Tracking these values was implemented via marker‐less setup. Varian's RPM system and the Anzai belt system were used in tandem with the Kinect to compare respiratory traces obtained by each using two different subjects. Results Analysis of the depth information from the Kinect for purposes of phase‐ and amplitude‐based binning correlated well with the RPM and Anzai systems. Interquartile Range (IQR) values were obtained comparing times correlated with specific amplitude and phase percentages against each product. The IQR time spans indicated the Kinect would measure specific percentage values within 0.077 s for Subject 1 and 0.164 s for Subject 2 when compared to values obtained with RPM or Anzai. For 4DCT scans, these times correlate to less than 1 mm of couch movement and would create an offset of 1/2 an acquired slice. Conclusion By tracking depth values of user selected pixels within the depth image, rather than tracking specific anatomical locations, respiratory motion can be tracked and visualized utilizing the Kinect with results comparable to that of the Varian RPM and Anzai belt.
机译:目的展示和评估在4DCT或放疗期间使用Kinect v2相机作为门控工具的无标记呼吸运动追踪过程的简单实现。方法利用Kinect上的深度传感器以及作者编写的C#代码,通过记录在用户选定的对象点上获得的深度值来跟踪对象的呼吸运动,每个点代表深度图像上的一个像素。当患者呼吸时,胸部/腹部的特定解剖点将在深度图像内跨像素稍微移动。通过跟踪特定像素的深度值如何变化,而不是解剖点如何在整个图像中移动,可以基于所选像素的深度值变化获得呼吸轨迹。跟踪这些值是通过无标记设置实现的。 Varian的RPM系统和Anzai传送带系统与Kinect一起使用,以比较使用两个不同的受试者分别获得的呼吸道。 Kinect的深度信息的结果分析,用于基于相位和幅度的分箱,与RPM和Anzai系统具有很好的相关性。通过比较与每种产品的特定幅度和相位百分比相关的时间来获得四分位间距(IQR)值。 IQR时间跨度表明,与使用RPM或Anzai获得的值相比,Kinect可以测量对象1的0.077 s和对象2的0.164 s内的特定百分比值。对于4DCT扫描,这些时间与小于1 mm的卧榻移动相关,并且会产生所获取切片的1/2偏移。结论通过跟踪深度图像中用户选择的像素的深度值,而不是跟踪特定的解剖位置,可以使用Kinect跟踪和可视化呼吸运动,其结果可与Varian RPM和Anzai带相媲美。

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