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Research on the Application of MRI Scanning in Orbital by Blade Technology

Author: DongYuRu
Tutor: LiBo
School: Jilin University
Course: Public Health
Keywords: Orbital Magnetic Resonance Imaging Blade technology ApplicationResearch
CLC: R445.2
Type: Master's thesis
Year: 2013
Downloads: 31
Quote: 0
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Abstract


There is a wide range of orbital diseases whose causes are complex andcommunicated with the body widespreadly. If orbital diseases cannot be handled in atimely manner, there would happen serious consequences. Therefore, orbital diseasesshould be found and treated as soon as possible. But orbital disease diagnosis andtreatment are more difficult, which have always been regarded as a difficult problemin clinical.Currently, there are many imaging diagnostic methods for the orbital diseases.MRI technology has been widely applied because MRI can display orbital anatomy inarbitrary plane, good soft tissue contrast, structure within the orbital and opticneuropathy show more clearly than other imaging examination method. Therefore,with the common application of MRI, orbital disease also greatly improve thedetection rate, easy for qualitative diagnosis. In addition, because its organs andlesions showed a clear vision, image clarity, without ionizing radiation and pain, MRIis widely applied in children’s eye diseases follow-up examination. But comparedwith other imaging diagnostic methods, Artifacts is the important factors whichinfluences the diagnosis of orbital disease, increase the rate of missed diagnosis andmisdiagnosis of clinical diagnosis.Blade technology is a new K-space acquisition techniques, using a radial filltrajectory in the image synthesis process. It can improve the image SNR and contrastgreatly, eliminate distortion data for data correction, provide more opportunities toeliminate motion artifacts in magnetic susceptibility artifacts. Finally obtainhigh-quality images. ObjectiveThis article aims to explore Blade technology artifacts occur, the improvementin image quality and orbital partitions artifacts Degree on Blade image correctiontechniques through comparative analysis between conventional technology and Bladetechnology in image SNR, image improvement and image classification, to providescientific and reliable basis for the application of Blade technology in MRI scans inthe future.MethodsSelect patients conducted MRI scans of eyes in Armed Police General HospitalMRI department on July2012to June2013. There ultimately included136patientscompling with the inclusion and exclusion criteria strict. Using the German SiemensTrio Tim3.0T superconductive magnetic resonance imaging system, scan all patientswith conventional MRI and Blade technology in the same parameters and location(the eye area, the optic nerve sheath, the muscle cone area, outside the area andperiosteal muscle cone outer zone).Based on the artifacts degree of conventionalMRI,136patients were divided into mild, moderate and severe artifacts groups. Getthe signal to noise ratio, the image quality grade and technical-image improvingefficiency of two scanning images to evaluate the improvement of image quality. UseEXCEL to establish the database. Use SPSS19.0to analysis the data. Statisticaldescription of measurement data use X±μ or M(Q). Statistical description of countdata use rates or proportions; statistical inference measurement data use paired t testor paired rank sum test. Image classification is ordinal data, the average grade levelanalysis use rank sum test. The efficiency rate of the images’ improving by Bladetechnology, and sex are both two categorical variables, use the χ2test.ResultsThere included136patients in this study. The male has74cases (54.4%),female62cases (45.6%);The mean age is21.50(46.75) years, maximum age is90years old, the minimum age is1month. Mild, moderate and severe artifacts groupswere not statistically difference in age and gender (P>0.05). Artifacts mild eye area（t=4.159，P＜0.05）and periosteal groups outside the area （t=-4.306，P＜0.05）Blade technology SNR was significantly higher than conventional techniques; severe eye area artifact group（t=-4.917，P＜0.05）, nerve sheath region（Z=-4.687，P＜0.05） and the outer region（Z=-3.431，P＜0.05） Blade technology periosteum SNRwas significantly higher than conventional technology; mild（Z=-7.378，P＜0.05）,moderate（Z=-4.735，P＜0.05） and severe artifacts group（Z=-6.587，P＜0.05）,Blade technology image was higher than the average grade conventional techniques;eye area（χ2=22.805，P＜0.05） and the nerve sheath region（χ2=14.378，P＜0.05）Blade technology to improve efficiency image artifacts are severe group than in mild,moderate artifacts group; mild artifacts group Blade technology to improve efficiencyperiosteum image outside the area the highest (80.0%), eye area lowest (33.3%)（χ2=28.422，P＜0.05）; severe artifacts group Blade technology to improve theefficiency of image nerve sheath highest (82.4%), muscle cone outer zone lowest(45.1%)（χ2=26.132，P＜0.05）.Conclusion1. The Blade technology can significantly improve the SNR of the scanning image ineyes, and there are differences among different orbit partition in the same degree ofartifacts.2. Relative to the conventional technology, the Blade technology can significantlyimprove the level of image classification. After correction of Blade technology, therate of ideal image in mild artifact group was90%, moderate artifact group88%,severe artifacts group76.5%. It is helpful to the diagnosis of orbital diseasesincreasing the image resolution.3. The rate of image improving efficiency of outside the periosteum area is highest,eye area minimum in Mild artifact group; The rate of image improving efficiency ofnerve sheath region is highest, muscle cone outer zone minimum in Severe artifactsgroup. The rate of image improving efficiency of severe artifacts group is highest inthe eye area and optic nerve sheath area.4. Relative to the conventional technology, the scanning image of signal-to-noise ratio,image classification level and the rate of image improving efficiency may beinfluenced by orbital partition and artifacts, but it still remains to be further research.

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CLC: > Medicine, health > Clinical > Diagnostics > Diagnostic Imaging > Magnetic resonance imaging
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