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Publié par | biomed |
Publié le | 01 janvier 2010 |
Nombre de lectures | 138 |
Langue | English |
Poids de l'ouvrage | 1 Mo |
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Ko
etal
.
BioMedicalEngineeringOnLine
2010,
9
:54
http://www.biomedical-engineering-online.com/content/9/1/54
RESEARCH
OpenAccess
Imageresizingusingsaliencystrengthmapand
seamcarvingforwhitebloodcellanalysis
ByoungChulKo,SeongHoonKim,JaeYealNam
*
*Correspondence:jynam@kmu.ac.
rkDepartmentofComputer
Engineering,KeimyungUniversity,
Shindang-Dong,Dalseo-Gu,Daegu,
areKo
Abstract
Background:
Anewimage-resizingmethodusingseamcarvingandaSaliency
StrengthMap(SSM)isproposedtopreserveimportantcontents,suchaswhiteblood
cellsincludedinbloodcellimages.
Methods:
Toapplyseamcarvingtocellimages,aSSMisinitiallygeneratedusinga
visualattentionmodelandthestructuralpropertiesofwhitebloodcellsarethen
usedtocreateanenergymapforseamcarving.Asaresult,theenergymap
maximizestheenergiesofthewhitebloodcells,whileminimizingtheenergiesof
theredbloodcellsandbackground.Thus,theuseofaSSMallowstheproposed
methodtoreducetheimagesizeefficiently,whilepreservingtheimportantwhite
bloodcells.
Results:
ExperimentalresultsusingthePSNR(PeakSignal-to-NoiseRatio)andROD
(RatioofDistortion)ofbloodcellimagesconfirmthattheproposedmethodisable
toproducebetterresizingresultsthanconventionalmethods,astheseamcarvingis
performedbasedonanSSMandenergymap.
Conclusions:
Forfurtherimprovement,afastermedicalimageresizingmethodis
currentlybeinginvestigatedtoreducethecomputationtime,whilemaintainingthe
sameimagequality.
Background
Peripheralbloodcelldifferentialcountingprovidesvaluableinformationforaccurate
patientdiagnoses,yetthemicroscopicreviewislaborintensiveandrequiresahighly
trainedexpert.Currentautomatedcellcountersarebasedonlaser-lightscatterand
flow-cytochemicalprinciples,nonetheless,21%ofallprocessedbloodsamplesstill
requiremicroscopicreviewbyexperts[1].Therefore,variousefforts[1-5]havealready
beenmadetodevelopautomaticcellanalysissystemsusingimageprocessing.Blood
cellimagesconsistofbothwhiteandredbloodcellsscatteredacrosstheentireimage,
however,itisthewhitebloodcells(WBCs)thatprovidetheimportantinformationfor
patientdiagnoses,suchasleukemiaorcancer[2].Thus,inmostresearch,WBC
segmentationistheimportantprocedure,wheretheultimategoalistoextractallthe
WBCsfromacomplicatedbackgroundandthensegmenttheWBCsintotheir
morphologicalcomponents,suchasthenucleusandcytoplasm.
RepresentativeWBCanalysissystems,suchasCellarvisionDiffmasterOctavia[4]and
CellarvisionDM96[5],scanthewholeslideatalowmagnificationfirsttoidentify
potentialWBCsusingthespecificcharacteristicsofWBCs,suchastheircolor,size,and
©2010Koetal;licenseeBioMedCentralLtd.ThisisanOpenAccessarticledistributedunderthetermsoftheCreativeCommons
AttributionLicense(http://creativecommons.org/licenses/by/2.0),whichpermitsunrestricteduse,distribution,andreproductionin
anymedium,providedtheoriginalworkisproperlycited.
Ko
etal
.
BioMedicalEngineeringOnLine
2010,
9
:54
http://www.biomedical-engineering-online.com/content/9/1/54
shape,andthentakedigitalimagesatahighmagnification.Thereafter,pre-classification
isperformedusingonlythecroppeddigitalimages.Whilethismethodismoreefficient
thanscanningWBCsfromahigh-resolutionimageofthewholeslide,additionaltimeis
requiredfortheWBCsearch,especiallywhentheimagecontainsseveralWBCs.
Furthermore,additionalstorageisneededtosavetheindividualpotentialWBCsand
extratimerequiredtoclassifytheWBCs,asthesystemhastocheckallpotentialWBC
imagestoanalyzejustoneslide.
Meanwhile,othermethods[2,3]useonlyanoriginalhigh-resolutionimageforthe
WBCanalysis.However,analyzingWBCsfromthewholeimageistimeconsuming,
sincethesizeofbloodcellimagesisnormallyatleast800×600.Therefore,animage-
resizingmethodisneededthatretainsalltheWBCswithoutmorphologicaldistortion
inordertoreducethepost-segmentationclassificationtime.Furthermore,sinceresized
high-qualityimagesrequirelessstorage,thepost-imagesegmentationandclassification
canbemoreaccuratethanwithconventionalimagecompression,suchasJPEG.
Relatedworkcanbedividedintotwoparts;imagecompressionandimageresizing.
First,variouslosslesscompressiontechniquesalreadyexistthatcanpreservethe
characteristicsofanimage,yetwithalowcompressionrate.Forexample,several
researchers[6-8]haveproposedtransformcodingschemes,suchasaPrincipalCom-
ponentAnalysis(PCA)andDiscreteCosineTransform(DCT),whileKarrasetal.[9]
usedadiscretewavelettransformation(DWT)andfuzzyc-meansclusteringtechnique.
Plus,toachievehighercompressionrateswithoutdetractingfromthequality,region
ofinterest(ROI)methodswithaDCThavealsobeeninvestigated[6,10].Inparticular,
Gokturketal.[10]proposedahybridmodel,usinglosslesscompressioninregionsof
interestandhigh-ratemotion-compensatedlossycompressioninotherregionsinthe
caseofasequenceofCTimages.Nonetheless,eventhoughlosslesscompressionpro-
ducesahighercompressionratewithoutdistortingROIs,theexactpreservationofa
ROIisstilldifficultwhenthecompressionrateisaboveaspecificlimitation.Therefore,
anewalgorithmisneededthatcanefficientlypreserveROIs,regardlessofthecom-
pressionrate.
Inadditiontoimagecompressionmethodsthatmerelypreservetheoriginalimage
size,someresearchershaveattemptedtoresizeorcrop[11,12]imagesaccordingto
theimagecontents.Yet,asshowninFig.1-(b),standardresizinghomogeneously
reducestheimagesize,therebydamagingalltheimagecontentsbasedontheratioof
theresizing.Similarly,whilecroppingcanbeusedtodisplaythemostimportant
regioninanimage,asshowninFig.1-(c),cellimagescontainmanyROIs,making
croppinginappropriateforcellimagecompression.
Meanwhile,seamcarving[13]changesthesizeofanimagebysubtlyremovingor
insertingaconnectedpathofpixelsfromadifferentpartoftheimageaccordingtothe
measuredenergy,asshowninFig.2-(b).However,eventhoughseamcarvingcaneffi-
cientlyremovenon-ROIpixels,iftheoperationisappliedtooharshly(i.e.resizingan
800×600imageto200×120),importantROIscanstillbedamaged,asshowninFig.
2-(d).Furthermore,sinceseamcarvingwasoriginallydevelopedfornatureimages,its
applicationtomedicalimagesissomewhatlimited.Forexample,theenergydistribu-
tionofWBCsisnotdistinctiveinbloodimages,makingithardtoapplyaseamcar-
vingoperatortobloodcellimages,whichresultsinaninevitableremovalorinsertion
ofpixelsinWBCs.
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Figure1
Examplesofdifferentscaling-downmethods
.
Accordingly,thispaperpresentsanewmethodforresizingbloodcellimageswhile
preservingthesizeandshapeofWBCs.Inperipheralblood,WBCsaredividedinto
fiveclassesaccordingtotheirmaturationstage,makingitessentialtopreservethesize
andshapeofthenucleus.Thus,toprovideanefficientimage-resizingmethodthat
treatsWBCsasROIs,aSaliencyStrengthMap(SSM)isproposedusingavisualatten-
tionmodelandthestructuralpropertiesofWBCstogenerateanewenergymap.As
such,thismapmaximizestheenergiesoftheWBCs,whileminimizingtheenergiesof
theredbloodcellsandbackground.Therefore,incontrasttopreviousalgorithms,the
maincontributionofthisstudyistoimprovetheresizingperformancewithalower
filesize,whilepreservingtheWBCsusingtheproposedSSMwithanenergymap.
Fig.3showsthearchitectureofthecellimageresizingusingtheproposedSSMand
seamcarving.
Theremainderofthispaperisorganizedasfollows.
Methods
describesthealgo-
rithmsusedtocreatethesaliencystrengthmap,anEllipseAttentionWindow(EAW)
thatremovesuselessregionsfromtheimage,andtheseamremovalusinganenergy
mapbasedonthesaliencystrength.
ResultsandDiscussion
evaluatestheaccuracy
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2010,
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Figure2
Exampleofseamcarving
:(a)originalimage,(b)energymapof(a),(c)reducedimageusing
seamcarvingthatpreservesshapeofimportantcontents(WBCs),(d)distortedimageusingharshseam
carving,whereshapesofWBCnucleiaredistorted.
Figure3
Architectureofproposedmethod
.
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andapplicabilityoftheproposedresizingmethodbasedonexperiments,andsome
finalconclusionsandareasforfutureworkarepresentedin
Conclusions
.
Methods
Thispaperproposesanewimage-resizingmethodwithalowerfilesizethatcanefficiently
preserveWBCsusingavisualsaliencymapbasedonthefollowingtwoassumptions:
▪
thenucleiofWBCsarenearlyround.
▪
thenucleiofWBCsarehighlightedinpurpleonawhitebackgroundwithmono-
chromaticredbloodcells.
Usingthesecharacteristics,aSaliencyStrengthMap(SSM)isproposedusingavisual
attentionmodel,whilethestructuralpropertiesofWBCsareusedtogeneratean
energymap.
Saliencymapgeneration
Incontrasttonatureimages,microscopicimages,especiallybloodcellimages,have
differentcharacteristicswithdistinctdiagnosticmeanings,suchasavaryingcolorand
saturationaccordingtofluorescencestaining.Forexample,inthecaseofbloodcell
images,thesalientparts,theWBCs,tendtobehighlysaturatedandpurpleincolor,
whiletheremainingparts,theredbloodcells,haveamoremonotonousappearance.
Thus,forsemanticseamcarving,knowledgeoftheexactpositionsoftherelevant
WBCsiscrucial.Therefore,toobtainthepositionofWBCs,amodifiedvisualatten-
tionmodelisused,asproposedinourpreviousresearch[14].
Theoriginalsaliency-basedvisualattentionmodelw