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Considerations for accurate inclusion of staff member body tracking in a top-down view virtual reality display of a scattered radiation dose map during fluoroscopic interventional procedures

机译:在透视检查过程中,在散射辐射剂量图的自顶向下视图虚拟现实显示中准确包含工作人员身体跟踪的注意事项

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The functionality of a real-time, top-down view virtual reality (VR) display of scattered radiation during fluoroscopic interventional procedures is being expanded to incorporate automatic input of staff member locations. Microsoft Kinect V2 depth sensing camera input was integrated into an open-source Robot Operating System (ROS) wrapper to facilitate automatic extraction of relative landmark body feature coordinates. Coordinates for the torso are selected to represent the staff member location in the selected plane of scatter; these coordinates are stored in a text file to be input into the real-time scatter display system (SDS). Accuracy of the depth sensing camera was evaluated using a pinhole camera model. This model was also implemented in an ROS wrapper to calibrate the Microsoft Kinect V2. Calibrated values were then implemented within a coordinate transformation algorithm which converts the physical distance measurements in the frame of the Kinect to normalized coordinates used in Matlab for visualization of the top-down horizontal plane of the interventional suite. Impact on real-time performance was evaluated for both staff member position update on-screen as well as for the update of SDS image frames.
机译:扩展了在透视检查过程中实时,自顶向下查看的虚拟现实(VR)显示散射辐射的功能,以结合员工位置的自动输入。 Microsoft Kinect V2深度感测摄像头输入已集成到开源机器人操作系统(ROS)包装器中,以帮助自动提取相对地标人体特征坐标。选择躯干的坐标以表示员工在所选散布平面中的位置;这些坐标存储在文本文件中,以输入到实时散射显示系统(SDS)中。使用针孔相机模型评估深度感应相机的精度。 ROS包装器中也实现了该模型,以校准Microsoft Kinect V2。然后在坐标转换算法中实现校准值,该算法将Kinect框架中的物理距离测量值转换为Matlab中用于归一化干预套件自上而下的水平面可视化的标准化坐标。评估了屏幕上员工位置更新以及SDS图像帧更新对实时性能的影响。

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