中国医学装备2024,Vol.21Issue(8) :194-197.DOI:10.3969/j.issn.1672-8270.2024.08.036

Allura XPer FD20型数字减影血管造影设备结构原理分析及故障维修

Analysis of structure principle and common fault maintenance of Allura XPer FD20 digital subtraction angiography equipment

曲玲玲 李健 乔芳
中国医学装备2024,Vol.21Issue(8) :194-197.DOI:10.3969/j.issn.1672-8270.2024.08.036

Allura XPer FD20型数字减影血管造影设备结构原理分析及故障维修

Analysis of structure principle and common fault maintenance of Allura XPer FD20 digital subtraction angiography equipment

曲玲玲 1李健 2乔芳1
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作者信息

  • 1. 上海健康医学院附属周浦医院采购办公室 上海 201318
  • 2. 上海健康医学院附属周浦医院资产管理部 上海 201318
  • 折叠

摘要

掌握数字减影血管造影(DSA)设备结构和工作原理是医学工程师开展日常维护维修管理的重要前提.通过分析X射线源、机械驱动、主机控制和图像输出等DSA设备的结构组成和部件功能,依据朗伯比尔定律阐述减影成像的工作过程,总结DSA图像质量的影响因素.同时,以Allura XPer FD20型DSA设备为例,对临床使用发生的检查床、机架和温度控制故障案例进行分析,对设备硬件结构和电路模块分别进行故障排查和处理,及时解决设备故障报警信息,以保障设备运行质量,提高故障维修效率.

Abstract

Mastering the structure,composition and working principle of digital subtraction angiography(DSA)equipment is an important prerequisite for medical engineers to carry out daily maintenance and repair management.By analyzing the structural composition and functional components of DSA from the aspects of X-ray source,mechanical drive,host control and image output,the working process of subtraction imaging was described according to Beer-Lambert law,and the influencing factors of DSA image quality were summarized.At the same time,taking the Allura XPer FD20 DSA equipment as an example,the failure cases of examination bed,rack and temperature control that occurred in clinical use were analyzed,and the fault investigation and processing were carried out from the hardware structure and circuit module of the equipment,and the equipment fault alarm information was solved in time to ensure the operation quality of the equipment and improve the efficiency of fault maintenance.

关键词

数字减影血管造影(DSA)/衰减系数/平板探测器/驱动电路/温度控制

Key words

Digital subtraction angiography(DSA)/Attenuation coefficient/Flat panel detector/Driving circuit/Temperature control

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出版年

2024
中国医学装备
中国医学装备协会

中国医学装备

CSTPCD
影响因子:0.882
ISSN:1672-8270
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