摘要
PET影像检查中常常利用示踪剂进行造影.目前示踪剂的分装方法主要是传统人工稀释分装,存在着分装效率不高,对人体辐射剂量大等问题.为了解决上述问题,研究者对自动分装系统进行了一定的研究,但是其控制界面功能单一,不能实时监控分装工作情况.因此本文设计了一款基于Qt的自动化分装热室控制界面.该界面能接收通过网络传输的远端摄像头数据,对分装热室内部情况进行实时的显示,应用亮度均衡算法对图像进行处理.并使用串口通讯协议通过蓝牙与STM32F429开发板进行连接,设计相应的功能控件对开发板进行远程操作,配合分装机械系统实现对分装热室自动化控制.经试验测试表明,本界面实现了人机交互的友好界面功能,很好的提高了监控画质和系统响应速度,相比常用的监控软件Mini VCap和VCam,视频延时和CPU占有率都有明显的降低,并能稳定地与STM32F429进行连接,在性能和指标上达到了设计需要.
Radionuclide imaging agent is necessary for PET/CT imaging. At present, the dispensing method of radionuclide imaging agent is mainly traditional manual dilution dispensing, so there are problems such as low efficiency of dispensing, large dose of radiation to human body, and so on. In order to solve the above problems, the researchers have worked on the automatic dispensing system, but the function of the control interface is single, and it cannot monitor the dispensing work in real time. So this study designed an automated Dispensing Hot Cells（DHC） control interface based on Qt. This interface can receive the data through the network transmission of remote cameras to realize real-time video display of the internal situation of the DHC and used the brightness equalization algorithm to process the image.And the interface uses the serial port protocol to connect the STM32 F429 demo board, designed the corresponding functional controls to operate the demo board, realizing the automation control of DHC with the dispensing mechanical system. The verification shows that, this interface realizes the friendly interface function of human-machine interaction. It improves the quality of monitoring and the response speed of the system. Compared with the commonly used monitoring software Mini VCap and VCam, the video delay and the CPU occupancy rate have been significantly reduced, can be stably connected with STM32 F429, and meet the design requirements in terms of performance and indexes.
作者
张少伟
葛斌
张磊
魏凌轩
伍进平
ZHANG Shao-Wei;GE Bin;ZHANG Lei;WEI Ling-Xuan;WU Jin-Ping(School of Medical Instrument and Food Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《计算机系统应用》
2018年第9期52-60,共9页
Computer Systems & Applications
关键词
分装热室
QT
视频监控
自动化控制
亮度均衡算法
dispensing hot cells
Qt
video monitoring
automation control
brightness equalization algorithm
