Research on Imaging Quality Evaluation Model of MR Equipment Based on Fuzzy Set Theory
CHU Chengchen1a,3, WANG Longchen1b, BI Fan1b, JIN Wei1b, LI Bin1a,2,3
1.a.Hospital Management Research Center; b.Department of Medical Equipment, Shanghai Jiao Tong University Affiliated Sixth
People’s Hospital, Shanghai 200233, China; 2.Development Center, Shanghai Hospital, Shanghai 200041, China; 3.Center for
Hospital Management Research, China Hospital Development Institue of Shanghai Jiao Tong University, Shanghai 200233, China
Abstract:Objective To evaluate the imaging quality of magnetic resonance imaging equipment and monitor the trend of imaging
quality to ensure the quality of clinical diagnostic images. Methods The fuzzy set theory was introduced into the imaging
performance analysis of magnetic resonance imaging equipment. By analyzing the image quality comprehensive evaluation index
data of magnetic resonance imaging equipment, a multi-parameter MRI image quality grade evaluation model was established.
Results With magnetic resonance equipment in our hospital as the research object, using the test parameters, a period of time before
and after the after-sale service’ maintenance, for the test sample to verify this model, the model analysis results were consistent
with practical experience. Conclusion The evaluation model of multi-parameter parameters established in this paper can effectively
evaluate the image quality level of magnetic resonance equipment, and strengthen the connection with clinical diagnostic images.
The establishment of the image quality factor trend chart, help to develop the optimal equipment maintenance plan to protect the
equipment in a safe, accurate and effective working condition.
储呈晨1a,3,王龙辰1b,毕帆1b,金玮1b,李斌1a,2,3. 基于模糊集理论的磁共振设备成像质量评定模型的研究[J]. 中国医疗设备, 2018, 33(2): 9-12.
CHU Chengchen1a,3, WANG Longchen1b, BI Fan1b, JIN Wei1b, LI Bin1a,2,3. Research on Imaging Quality Evaluation Model of MR Equipment Based on Fuzzy Set Theory. China Medical Devices, 2018, 33(2): 9-12.