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一种改进的医学图像配准插值算法研究.docx

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一种改进的医学图像配准插值算法研究 Title:AnImprovedMedicalImageRegistrationInterpolationAlgorithm Abstract: Medicalimageregistrationisanessentialprocessinvariousmedicalapplications,suchasimagefusion,image-guidedsurgery,andradiotherapy.Theaccuracyandefficiencyofimageregistrationheavilydependontheinterpolationalgorithm.Thisresearchaimstoproposeanimprovedmedicalimageregistrationinterpolationalgorithmthatprovidesbetterspatialaccuracyandminimizesartifacts.Theproposedalgorithmofferspromisingresultsbyemployingadvancedinterpolationtechniquesandincorporatingpre-processingstepsforenhancedimagequality. Introduction: Medicalimageregistrationplaysacrucialroleinaddressingthechallengesofanalyzing,interpreting,andintegratinginformationfromdifferentmedicalimagingmodalities.Accurateandpreciseregistrationhelpsinbetterdecision-making,treatmentplanning,andmonitoringtheprogressofapatient.Onecriticalaspectofimageregistrationistheinterpolationalgorithmusedtodeterminethevaluesofthenon-sampledpointsinthetransformedimage.Theobjectiveofthisresearchistodevelopanimprovedinterpolationalgorithmthatcanaddressthelimitationsofexistingmethods. LiteratureReview: Severalinterpolationtechniques,suchasnearestneighbor,bilinear,andspline-basedmethods,havebeenusedinmedicalimageregistration.However,drawbackslikelossofspatialaccuracyandtheintroductionofinterpolationartifactsexistinthesemethods.Recentstudieshaveproposedvariousimprovements,enhancingtheaccuracyandreducinginterpolationartifacts.Theseincludeadaptiveinterpolation,kernel-basedinterpolation,image-domaininterpolation,andmore.Despitetheseadvancements,thereremainsaneedforfurtherimprovementsinmedicalimageregistrationinterpolationalgorithms. Methods: Toaddressthelimitationsofexistinginterpolationalgorithms,ourproposedapproachincorporatesthefollowingkeycomponents: 1.Pre-processingsteps:Toenhancethequalityoftheinputimages,weapplyimagedenoisingandcontrastenhancementtechniques.Thesepre-processingstepshelpreducenoiseandimproveimageclarity,ultimatelyleadingtoimprovedregistration