dsa图像血管增强与中心线提取算法分析

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1、ABSTRACTAlongwiththeincreasinglyadvancedsocialeconomyandlivingstandard,cardiovascularandcerebrovasculardiseasesarebecomingamajorthreattohumanhealth.Themostdirectapproachtoexaminewhetherheartandcerebralvesselsarediseasedandblockedistoconductangiography.DigitalSubtractionAngiograp

2、hytechnology(hereinafterreferredtoas:DSA)whichhighlightsvascularimagesandleavesoutthoseoftheoverlappedboneandsoft-tissuesystemcanachievebetterimageacuity.Therefore,DSAhastakentheplaceoftraditionalangiographyandbeenwidelyappliedtoclinicaldiagnosis.However,soundjudgmentisdifficult

3、tomakeonlybyobservingangiographyimages.Thedoctorsshouldbeprovidedalotmorevascularinformationacquiredstraightlyfrompost-processingDSAimagesbeforetheyadoptmoreaccuratetherapeuticplansandminimizemedicalerrorstothefullestextent.SincevariousmethodsareusedtoprocessDSAimages,thispapera

4、imsatstudyinghowtoenhancethemandextractcenterlines.Vesselthree-dimensionalreconstructionisbasedonitstwo-dimensionalextraction,whichenablesactualreflectionofvasculardistributionandstructure.Thus,itisofgreatsignificancetoresearchintoimprovingextractionalgorithmsofvascularcenterlin

5、es.Tobeginwith,imagesneedspreprocessing.Inordertoenhancethecontrastofvascularimagestoextracttheirproblems,thispaperproposesajointmethodofsegmentalIIIlineartransformationandmulti-scalefilter.Atfirst,adjustimagegreyscaletoareasonablerangebymeansofsegmentallineartransformation;then

6、buildmulti-scalefilteroutofHessianMatrixaccordingtoeigenvaluesofHessianMatrixandmulti-scaletheorysoastointensifyimageacuityofvascularstructureofdifferentsizesandsuppressnoiseinterference.Itisshowninthesimulationexperimentthatwiththehelpoftheintegratedfilterthismethodaresupposedt

7、oenhancevascularimageswithgreatereffect.Afterthatafurtherstudyabouttheextractionalgorithmsofvascularcenterlinesiscarriedout.Firstly,theenhancedvascularimagesaresegmentedbythresholdsofOstualgorithm;thensegmentedconnectingregionscanremoveinterferencefromthenoiseandporphyriticstruc

8、ture.Secondly,vesselframework,i.e.thecoarsecent