Analysis of CT machine maintenance status based on Citespace and Vosviewer
Objective This study aims to use knowledge graph to analyze the research status and hot spots in the field of CT machine maintenance,and reveal the main research direction and trend through multidimensional data statistics.Methods In this paper,Citespace and Vosviewer software were used to visually analyze the current status of CT machine maintenance in terms of the annual publication amount,subject publication amount and keyword clustering.Results 396 selected literatures in the field of CT machine maintenance were visually analyzed.Analysis of the annual number of published papers shows that 2019 was the peak,and then the number of published papers showed a downward trend,reflecting the fluctuation of research attention in recent years.The analysis of the number of disciplinary papers shows that biomedical engineering,medical and health policies and laws and regulations,and instrumentation industry are the leading disciplines.Keyword cluster analysis reveals 6 main clusters covering a wide range of topics from maintenance management to fault analysis and equipment maintenance.Keyword frequency analysis shows that the frequency of words such as repair,fault and maintenance is higher.Keyword center correlation analysis shows that"fault repair"tops the list with the highest central correlation,and other keywords such as CT equipment,collimator and maintenance also show the importance of equipment performance optimization and fault prevention.Conclusion Based on Citespace and Vosviewer software,the current research status in the field of CT machine maintenance was analyzed,which fully revealed the research trends and trends in the field of CT machine maintenance,and provided profound insight and theoretical support for the development of future research directions.
CT machine maintenanceKnowledge graphVisual analysisQuality control