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基于 KINECT 的实时呼吸运动监测系统:概念验证。

A real-time respiratory motion monitoring system using KINECT: proof of concept.

机构信息

Department of Radiation Oncology, University of Iowa, Iowa City, IA 52242, USA.

出版信息

Med Phys. 2012 May;39(5):2682-5. doi: 10.1118/1.4704644.

Abstract

PURPOSE

The purpose of this study is to investigate the feasibility of a low-cost respiratory motion monitoring system based on the Microsoft KINECT sensor.

METHODS

The authors increased KINECT's inherent depth resolution from 1 cm to 1 mm via a motion magnification system. Using the KINECT software development kit, the authors 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.

RESULTS

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.

CONCLUSIONS

It is feasible to use 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.

摘要

目的

本研究旨在探讨基于微软 KINECT 传感器的低成本呼吸运动监测系统的可行性。

方法

作者通过运动放大系统将 KINECT 的固有深度分辨率从 1cm 提高到 1mm。作者使用 KINECT 软件开发工具包编写程序,使 KINECT 能够捕获深度图像,并确定与受试者表面几乎平行的胸部感兴趣区域的平均深度。从四名志愿者中获取 KINECT 呼吸轨迹(以 30Hz 的速率的平均深度与时间的关系),并与同时使用市售应变计呼吸门控系统获取的轨迹进行比较。

结果

KINECT 和应变计轨迹之间的相关系数(CC)从 0.958 到 0.978 不等,平均 CC 为 0.969。联合概率分布和直观检查也证明了这种强相关性。

结论

使用 KINECT 进行呼吸运动跟踪是可行的。轨迹与临床使用的应变计系统相似。基于 KINECT 的系统为监测呼吸运动提供了一种新的经济方法。

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