基于先验形状和局部统计的血管影像图像分割方法（英文）-豆柴文库

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基于先验形状和局部统计的血管影像图像分割方法（英文）
Title:ImageSegmentationMethodforVascularImagingBasedonPriorShapeandLocalStatistics
Abstract:
Accurateandefficientsegmentationofbloodvesselsinmedicalimagesplaysacrucialroleinvariousapplications,includingdiagnostics,treatmentplanning,andresearch.Thispaperpresentsanovelimagesegmentationmethodthatcombinespriorshapeinformationandlocalstatisticstoachieveimprovedresultsinvascularimaging.
Introduction:
Bloodvesselsareessentialstructuresinthehumanbody,servingasaconduitforthetransportationofoxygenandnutrients.Accuratesegmentationofbloodvesselsischallengingduetotheircomplexandintricatenature,aswellasthepresenceofnoiseandintensityvariationsinmedicalimages.Traditionalsegmentationapproachesoftenstrugglewithsuchcomplexities,leadingtosuboptimalresults.Therefore,thedevelopmentofadvancedsegmentationmethodsthatcanexploitbothpriorknowledgeandlocalstatisticsisofutmostimportance.
Methods:
Theproposedsegmentationmethodisatwo-stepprocessthatinvolvespriorshapeinitializationfollowedbylocalstatisticsrefinement.Theinitialshapeisestimatedbyemployingtheactivecontourmodel,alsoknownasthesnakealgorithm.Thismodelutilizesthegradientinformationtoapproximatetheboundaryofbloodvessels.Thesnakealgorithmisinitializedusingapriorshapetemplatederivedfromatrainingdataset.Thistemplateincorporatespriorknowledgeabouttheaverageshapeandsizeofbloodvessels,enablingthealgorithmtoadapttodifferentimagecharacteristics.
Oncetheinitialshapeisobtained,thesegmentationisfurtherrefinedusinglocalstatistics.First,theimageispre-processedtoenhancecontrastandreducenoise.Then,anadaptivethresholdingtechniqueisappliedtoseparatethebloodvesselsfromthebackground,exploitingthelocalstatisticsoftheimage.Thethresholdingtechniquetakesintoaccountthelocalintensitydistributiontodetermineanoptimalthresholdvalueforaccuratelysegmentingthebloodvessels.Finally,morphologicaloperationssuchaserosionanddilationareappliedtoremovesmallartefactsandimprovetheconnectivityofthesegmentedvessels.
ExperimentalResults:
Theproposedmethodw