Testing Global Histogram Equalization and Unsharp Mask Algo-rithms for Processing Conventional Chest X-Ray Images.

lranian journal of Clinical Infectious Diseases

SB Moosavi-toomatari²  N Se-pehrvand¹  M Mohammad Ghasemi-rad²  AA Ghate⁴  SE Moosavi-toomatari³  A Mohammadi⁴  J Aghazadeh⁵ 

[1] Medical Doctor, National Institute of Health Research, Tehran University of Medical Sciences, Tehran, Iran,;Medical Doctor, Students’ Research Committee, Urmia University of Medi-cal Sciences, Urmia, Iran,;Medical Intern, Students’ Research Com-mittee, Tabriz University of Medical Sciences, Tabriz, Iran.;Associate Professor, Department of Radiology,;Assistant Professor, Department of Neurosurgery, Imam Khomeini Training Hospital, Urmia University of Medical Sciences, Urmia, Iran,

关键词: Image Processing;    enhancement;    Chest;    Conventional;    Radiography;   

DOI  :  10.17795/semj20462

学科分类：基础医学

来源: Shiraz University of Medical Sciences

【 摘 要 】

Introduction::Imagingmethodsareprogressinginarapidlymanner,buttheproblemwhichwe,asthehealthprovidersalwaysencounterwithistheexpensivecostsofdifferentdevicesandourlimitedbudgettoprovidethem.Aims::TheaimofthisstudyistoevaluatetheusefulnessofHistogramEqualization(HE)andUnsharpMask(UM)ontheconventionalCXRimages.MethodsandMaterial::InUrmiaUniversityofMedicalSciences,wedesignedawindows-basedcomputerprogramthatcontainshistogramequalization(HE),unsharpmask(UM)andcom-binationofHEandUMalgorithmswithadjustedparameterstoprocessconventionalchestx-ray(CXR)images.TwoseriesofCXRimagesincluding49imageswithoutmajorpulmonarydisorderand45imageswithpulmonaryparenchymaldisorderswereselected.Afterconvert-ingthemtodigitalformat,imageswereprocessedwithHE,UMandcombinationofHEandUMtechniques.Ineachseries,originalandprocessedimagesweresavedin4databases.Twoboard-certifiedgeneralradiologists(with6and5yearsexperience)analyzedimages.Savedimagesweredisplayedtoradiologistsrandomlyandseparately.Qualityofeachimagewassavedasascalefrom1(verylowquality)to5(excellent).Weusedavariance-basedstatisticaltechniquetoanalyzequality.Statisticalanalysisused::Tocomparethequalityofeachalgorithm(GHE,UMandcombina-tionofGHEandUM),avariance-basedstatisticalanalysiswasdone.Results::Inthefirstseriesimages,HEandcombinationofHEandUMalgorithmsincreasedqualityofimages,butUMtechniquewasnotsuitable,solely.Also,allthreetechniquesin-creasedqualityofsecondseriesimages.Conclusions::TheuseofdigitalimageprocessingalgorithmssuchasHEorUMonconven-tionalCXRimagescanincreasequalityofimages.

【 授权许可】

Unknown