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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）.docx

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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