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| 基于QT的磁共振质量检测自动分析系统的设计与实现 | |
| 引用本文： | 罗洪艳,徐旭,高成龙,李明勇,廖彦剑. 基于QT的磁共振质量检测自动分析系统的设计与实现[J]. 生物医学工程学杂志, 2019, 0(4): 627-632 |
| 作者姓名： | 罗洪艳 徐旭 高成龙 李明勇 廖彦剑 |
| 作者单位： | 重庆大学生物工程学院生物流变科学与技术教育部重点实验室;重庆大学生物工程学院重庆市医疗电子工程技术研究中心 |
| 基金项目： | 国家重点研发计划资助项目(2016YFC0107113);重庆市重点产业共性关键技术创新专项(CSTC2015ZDCYZTZXX0002) |
| 摘 要： | 磁共振成像性能参数的质量检测是保证其影像质量和诊断结果可靠性的重要手段。为了解决当前以手工计算和人眼辨识方式测算质检参数所带来的主观性强、工作效率较低等问题,本文提出并实现了基于QT平台采用C++语言开发的磁共振质量检测自动分析系统方案,引入图像处理算法自动测算质检参数,设计功能全面的软件系统化地管理磁共振设备质检信息。实验结果表明自动测算与手工测算的参数值一致性较好,算法准确可靠。整个系统高效便捷且操作简单,能满足磁共振设备质检工作的实际需求。 |
| 关 键 词： | 磁共振 质量检测 图像处理 自动分析 QT |
Design and implementation of an automatic analysis system for magnetic resonance quality detection based on QT |
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| LUO Hongyan,XU Xu,GAO Chenglong,LI Mingyong,LIAO Yanjian. Design and implementation of an automatic analysis system for magnetic resonance quality detection based on QT[J]. Journal of biomedical engineering, 2019, 0(4): 627-632 | |
| Authors: | LUO Hongyan XU Xu GAO Chenglong LI Mingyong LIAO Yanjian |
| Affiliation: | (Key Laboratory of Bio-Rheology Science and Technology, Ministry of Education, Bioengineering College, Chongqing University,Chongqing 400044, P.R.China;Chongqing Medical Electronic Engineering Technology Research Center, Bioengineering College, Chongqing University, Chongqing 400044, P.R.China) |
| Abstract: | The quality inspection of magnetic resonance imaging (MRI) performance parameters is an important means to ensure the image quality and the reliability of diagnosis results. There are some problems in the manual calculation and eye recognition of the quality inspection parameters, such as strong subjectivity and low efficiency. In view of these facts, an automatic analysis system for MRI quality detection based on QT is proposed and implemented in C++ language. The image processing algorithm is introduced to automatically measure and calculate the quality inspection parameters. The software with comprehensive functions is designed to systematically manage the quality inspection information of MRI. The experimental results show that the automatically calculated parameters are consistent with the manually calculated ones. Accordingly, the accuracy and reliability of the algorithm is verified. The whole system is efficient, convenient and easy to operate, and it can meet the actual needs of MRI quality inspection. |
| Keywords: | magnetic resonance quality inspection image processing automatic analysis QT |
| 本文献已被 CNKI 维普 等数据库收录！ | |