ZHAO Lei, WANG Ze-feng, LIU Ai-shi. Correlation Analysis between Low Body Mass Index and Image Quality Using PGA CT Technique[J]. CT Theory and Applications, 2012, 21(2): 321-327.
Citation:
ZHAO Lei, WANG Ze-feng, LIU Ai-shi. Correlation Analysis between Low Body Mass Index and Image Quality Using PGA CT Technique[J]. CT Theory and Applications, 2012, 21(2): 321-327.
ZHAO Lei, WANG Ze-feng, LIU Ai-shi. Correlation Analysis between Low Body Mass Index and Image Quality Using PGA CT Technique[J]. CT Theory and Applications, 2012, 21(2): 321-327.
Citation:
ZHAO Lei, WANG Ze-feng, LIU Ai-shi. Correlation Analysis between Low Body Mass Index and Image Quality Using PGA CT Technique[J]. CT Theory and Applications, 2012, 21(2): 321-327.
Objective:To evaluate the relationship between body mass index(BMI)and image quality for fixed tube current and tube voltage.Methods:Forty patients with average body mass index(BMI)20.12 kg/m<sup<2</sup<,average age 53.16 years were included in this study,using PGA scan technique(tube voltage was 120 kV and tube current was 400 mA).All patients were evaluated for mean attenuation,noise,signal-to-noise ratio(SNR)in aortic root. To evaluate the relationship between body mass index(BMI)and image quality using Pearson correlation analysis. AP value below 0.05 was considered to be statistically significant.Results:The BMI was statistically significant influence on noise,signal-to-noise ratio(<i<P</i<=0.000).The BMI was no statistically significant influence on the mean attenuation(<i<P</i<=0.314).Conclusion:The use of low BMI adapted mA selection method can obtain consistent image quality in abstracto and may reduced effective dose.
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