大型医疗射频设备硬件过热检测方法研究

研究医疗射频设备过热准确检测问题。射频设备深入人体组织完成工作,受到体内血压等因素的影响,过热信号传递较为缓慢,存在明显滞后,检测不准确。传统的过热检测方法对其进行检测时,存在明显滞后误差,造成检测不准。为此,提出基于小波模糊训练算法的大型医疗射频设备硬件过热检测方法。建立粗糙集神经网络模型,提取大型医疗射频设备硬件状态信号的特征,将其作为硬件过热检测的依据。利用小波模糊训练算法,对大型医疗射频设备硬件过热进行准确的检测。实验结果表明,利用改进算法进行大型医疗射频设备硬件过热检测,能够对硬件过热的情况进行准确的检测,从而为诊疗检查提供设备保障。

南昌市X射线诊断频率水平调查

医疗射照是最大的人工电离辐射来源,医疗照射防护是放射卫生监督管理的重点.按照"九五"期间全国医疗照射水平调查方案[1],我们对南昌市放射工作单位X射线诊断医疗照射的基本状况及频率水平进行了调查.此次调查掌握了全市放射诊断服务现状,填补了南昌市医疗照射水平数据空白.

Effects of Gamma Irradiation for Sterilization on Aqueous Dispersions of Length Sorted Carbon Nanotubes

There is currently great interest in the potential use of carbon nanotubes as delivery vessels for nanotherapeutics and other medical applications. However, no data are available on the effects of sterilization methods on the properties of nanotube dispersions, the form in which most medical applications will be processed. Here we show the effects of gamma irradiation from a 60Co source on the dispersion and optical properties of single-wall carbon nanotubes in aqueous dispersion. Samples of different length-refined populations were sealed in ampoules and exposed to a dose of approximately 28 kGy, a level sufficient to ensure sterility of the dispersions. In contrast to literature results for solid-phase nanotube samples, the effects of gamma irradiation on the dispersion and optical properties of the nanotube samples were found to be minimal. Based on these results, gamma irradiation appears sufficiently non-destructive to be industrially useful for the sterilization of nanotube dispersions.