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- W2393058804 abstract "Objective To discuss the application of adaptive statistic iterative reconstruction Veo(ASiR-V)in low-dose chest CT screening.Methods Totally 100 patients were categorized randomly into low-dose group(120kVp/30mAs)and ultra-low-dose group(120kVp/17.5 mA).Images were reconstructed with different ASiR-V blending percentages(0,30%,50%,70%,100%).Subjective image score,number of nodules and the standard deviation(SD)of CT value among different ASiR-V blending percentages,SD among different scores in ASiR-V50% were all compared.Results The scores of lung algorithm images with ASiR-V70% were higher than the others.The most nodules were detected with ASiRV70%.The scores for standard algorithm images with ASiR-V50% were higher than the others.SD values in subjective scoring 2,3,4and 5of ASiR-V50% were(24.20±1.01)HU,(20.99±2.32)HU,(19.54±2.16)HU and(16.90±2.60)HU respectively,which had statistically significant between any two(all P0.05).Conclusion 70% is the best blending percentage for lung algorithm and 50%for standard algorithm;20.99 HU of SD at ascending aorta is the criteria of images reconstructed by standard algorithm with ASiR-V50%for low-dose chest screening." @default.
- W2393058804 created "2016-06-24" @default.
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- W2393058804 date "2015-01-01" @default.
- W2393058804 modified "2023-09-25" @default.
- W2393058804 title "Application of adaptive statistic iterative reconstruction Veo in low-dose chest CT screening" @default.
- W2393058804 hasPublicationYear "2015" @default.
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