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Study On Automatic Image Processing Algorithm For Quality Inspection Of Medical Magnetic Resonance Equipment

Posted on:2018-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:F R LiFull Text:PDF
GTID:2348330533961536Subject:Biomedical engineering
Abstract/Summary:PDF Full Text Request
Magnetic resonance imaging(MRI)equipment is a high-tech product based on the mechanism of magnetic resonance to obtain electromagnetic signal from the body and reconstruct images.Since the first magnetic resonance scanner came out in 1980 s,MRI technology has developed rapidly.It has applied to clinical diagnosis,minimally invasive treatment and other fields.The inspection scope of MRI covers the whole body.Because of the complex imaging principles,various factors will affect the image quality.Accordingly,the quality assurance and quality control have always been the common concern of manufacturers,medical institutions,patients and medical insurance agencies.At present,the quality inspection method used in hospitals is usually to scan the phantom,segment the region of interest in the image and calculate the parameters manually.The traditional method is time-consuming and laborious.Moreover,the test results are affected by subjective factors.In view of these issues,this paper aims to realize the automatic analysis of the parameters related to MRI quality control by developing the algorithms using MATLAB software,so that the quality control work of MRI would become convenient,quick,and more objective.The main research work as follow:(1)The MRI quality standards and research were reviewed at home and abroad.The detection parameters were proposed.The imaging principle of MRI equipment was explored.The testing contents,data processing and common manual testing methods were also analyzed.(2)An automatic detection algorithm based on MATLAB sofware was introduced.Seven image parameters were signal-to-noise ratio,aspect ratio,uniformity,thickness,spatial linearity,spatial resolution and low contrast resolution.The automatic analysis results were compared with themanual results to verify the algorithms.(3)A user interface was designed to realize the detection of each parametereasily and directly.The final results show that all the parameters calculated by the software are consistent with the manual results.Therefore,the algorithms are verified to be effective and efficient.
Keywords/Search Tags:MRI, quality control, automatic processing, user interface
PDF Full Text Request
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