Design and implementation of an automatic analysis system for magnetic resonance quality detection based on QT.
10.7507/1001-5515.201807014
- Author:
Hongyan LUO
1
,
2
;
Xu XU
1
,
2
;
Chenglong GAO
1
,
2
;
Mingyong LI
1
,
2
;
Yanjian LIAO
1
,
3
Author Information
1. Key Laboratory of Bio-Rheology Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing 400044, P.R.China
2. Chongqing Medical Electronic Engineering Technology Research Center, Bioengineering College, Chongqing University, Chongqing 400044, P.R.China.
3. Chongqing Medical Electronic Engineering Technology Research Center, Bioengineering College, Chongqing University, Chongqing 400044, P.R.China.azurelyj@163.com.
- Publication Type:Journal Article
- Keywords:
QT;
automatic analysis;
image processing;
magnetic resonance;
quality inspection
- MeSH:
Algorithms;
Image Processing, Computer-Assisted;
Magnetic Resonance Imaging;
standards;
Reproducibility of Results
- From:
Journal of Biomedical Engineering
2019;36(4):627-632
- CountryChina
- Language:Chinese
-
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.
