Xia J, Siochi R
University Of Iowa Hospitals and Clinics, Iowa City, IA.
Med Phys. 2012 Jun;39(6Part8):3689. doi: 10.1118/1.4734996.
To investigate the feasibility of a low-cost respiratory motion monitoring system based on the Microsoft Xbox Kinect sensor.
We improved Kinect's inherent depth resolution from 1 cm to 1 mm via a motion magnification system. Using the Kinect software development kit, we programmed the Kinect to capture depth images and determine the average depth over a thoracic region of interest, viewed almost parallel to the subject's surface. Kinect respiratory traces (average depth vs time at a rate of 30 Hz) were acquired from four volunteers and compared with those simultaneously acquired using a commercially available strain gauge respiratory gating system.
The correlation coefficient (CC) between Kinect and strain gauge traces varied from 0.958 to 0.978, with a mean CC of 0.969. This strong correlation was also demonstrated by the joint probability distribution and visual inspection.
This work demonstrates the feasibility of using the Kinect for respiratory motion tracking. Traces are similar to those of a clinically used strain gauge system. The Kinect-based system provides a new and economical way to monitor respiratory motion.
研究基于微软Xbox Kinect传感器的低成本呼吸运动监测系统的可行性。
我们通过运动放大系统将Kinect的固有深度分辨率从1厘米提高到1毫米。使用Kinect软件开发工具包，我们对Kinect进行编程，以捕获深度图像并确定感兴趣的胸部区域的平均深度，该区域几乎与受试者表面平行。从四名志愿者身上获取Kinect呼吸轨迹（平均深度与时间，速率为30赫兹），并与使用市售应变片呼吸门控系统同时获取的轨迹进行比较。
Kinect与应变片轨迹之间的相关系数（CC）在0.958至0.978之间变化，平均CC为0.969。联合概率分布和目视检查也证明了这种强相关性。
这项工作证明了使用Kinect进行呼吸运动跟踪的可行性。轨迹与临床使用的应变片系统的轨迹相似。基于Kinect的系统提供了一种监测呼吸运动的新的经济方法。
