Applicationvalueofanewgenerationmodel-basediterativereconstructioninchestCTscan
10.3969/j.issn.1002-1671.2019.07.028
- VernacularTitle:新一代基于模型的迭代算法对胸部CT图像质量的应用价值
- Author:
Xiujuan ZUO
1
;
Yonghong JIANG
;
Zhenghua LIU
;
Yuting ZHANG
;
Benyin LIU
;
Yaning LI
;
Yaqing DUAN
Author Information
1. 西安交通大学附属红会医院影像科
- Keywords:
filteringbackprojection;
computedtomography;
newgenerationmodel-basediterativereconstruction;
imagequality
- From:
Journal of Practical Radiology
2019;35(7):1143-1147
- CountryChina
- Language:Chinese
-
Abstract:
Objective ToinvestigatetheimpactofCTimagequalityforfilteringbackprojection(FBP),conventionalmodel-based iterativereconstruction(MBIRC)andnewgeneration model-basediterativereconstruction (MBIRN)onchest.Methods Thirtypatientswith chestCTscanwerecollected.FBP,MBIRCandMBIRN wereusedtoreconstructtheimage.Objectivequality[standarddeviation(SD) valueoftheROI,SNR],thenoisereductionrateandSNRimprovementrateofMBIRCand MBIRN withrespecttoFBP werecom-paredacrossthethreeimages.Atthesametime,tworadiologistsusedtheblind methodtoevaluatetheintrapulmonarystructurein thelungalgorithm FBP,MBIRC,MBIRN,andthemediastinalstructure (5-pointsystem)inthestandardalgorithmsFBP,MBIRC, MBIRN.Results ComparedwithFBP,theimagemusclenoisesofMBIRCand MBIRN were76.71% and86.06%lowerthanFBP,respectively, andthefatnoiseswere66.91% and78.18%lowerthanFBP,respectively.Thedifferencewasstatisticallysignificant(P<0.05).The imageSNRofMBIRCandMBIRN were74.12% and84.97% higherthanthatoftheFBPgroup,respectively.ThefatSNRwere65.63% and 76.02% higherthanthatoftheFBPgroup (P<0.05).Thethreealgorithmsshowedstatisticallysignificantdifferencesinsubjective noise,intrapulmonaryvascular,bronchialresolution,mediastinalbloodvessels,andlymphnodes.MBIRN hadthelowestsubjective noise,andthehighestSNR,mediastinalstructure,andintrapulmonaryvesselsandbronchi.Conclusion Comparedwith MBIRC and FBPwithnormaldosechestCTscan,MBIRN cansignificantlyreducethenoiseofchestCTscanimages,improveSNR,and more clearlyshowthedetailsofthescanrangeandlesionedgefeatures.
