关于ct数据的冠脉提取和细化方法的分析和实现

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1、—Ⅵ；，0；j，sedTheextractionofcoronaryarteryandvesselcenterlineandthemeasurementofvesselstenosisarethefocusesinthefieldofmedicalimageprocessingandanalyis．Accordingtothescalespacetheory,aqauntiativeanalysismethodofcoronaryarteryComputerAidedDiagnosis(CAD)basedonCTdatasetispr

2、oposed．Inscalespace，thememberfunctionoftubularstructureisconstructedconsidoringtheresponsesindifferentscalesonthebaseofdifferentialgeometrytheoryoftubularstructuretoextracttheseedpointsincoronaryarteryautomatically．Thealgorithmofextractingseedpointsautomaticallyhaveimpl

3、ementedonCardiacCADsoftwareplatform．Forthehigh-qualityCTimages，theaccuracyrateofseedpointextractionisabove90％．Bythewayofashapebasedregiongrowingalgorithm，theleakageswhoretheimageinformationambiguousisrestrained．TheresultsshowthatthealgorithmCanimprovetheautomationofCard

4、iacCADsystembyone-clickvesselextraction．ThealgorithmhasbeensuccessfullyappliedincoronaryarteriesanalysisofNensoflCardiacCAD．Skeletonisfrequentlyappliedinmedicalimageanalysis．Thinningisaprocesswhichproducestheskeletonofanobjectwhileitstopologicalstructureispreserved；itis

5、theimportantstepofmedicalimageanalysis．A3DThinningalgorithmextractingmediallinesofobjectswasdescribed，whichremovesixkindsofsimplepointslayerbylayerfromtheoutmostlayerbyiterationuntilonlyamedialaxislineremains．ThentheresultedcentralpathWassmoothed，providingarootofeverytr

6、ee．Atlastthethinningresulthadbeenvalidatedandevaluatedbyphantoms．Keywords：scalespace；tubularstructures；vesselextraction；skeleton；CardioCAD—III—、l‘}}。v一目录独创性声明⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯I摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．IIAbstract⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．III第1章绪论⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯

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