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改进的先验图像约束的压缩感知重建方法用于低剂量X-线CT.docx

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改进的先验图像约束的压缩感知重建方法用于低剂量X-线CT Title:AnImprovedPriorImage-ConstrainedCompressedSensingReconstructionMethodforLow-DoseX-rayCT 1.Introduction(150words) Low-doseX-raycomputedtomography(CT)hasbecomeanincreasinglypopularimagingmodalityduetoitslowerradiationexposurecomparedtoconventionalCT.However,reducingtheX-raydoseoftenleadstoincreasednoiseandreducedimagequality,makingitchallengingtoobtainaccuratediagnosticinformation.Compressedsensing(CS)hasshownpromiseinreducingtherequirednumberofmeasurementsforimagereconstruction.Thispaperpresentsanenhancedpriorimage-constrainedCSreconstructionmethodforlow-doseX-rayCT,aimingtoimprovetheimagequalityanddiagnosticaccuracy. 2.CompressedSensingandImageReconstruction(200words) Compressedsensingisasignalprocessingtechniquethatexploitsthesparsityorcompressibilityofsignalstoaccuratelyreconstructthemfromalimitednumberofmeasurements.InthecontextofX-rayCT,thistechniquehasthepotentialtosignificantlyreduceradiationdosewhilemaintainingimagequality.Thereconstructionprocessentailssolvinganoptimizationproblemthatenforcesbothdatafidelityandsparsityconstraints. 3.PriorImageConstraintinCSReconstruction(250words) PriorimageconstraintsinCSreconstructionexploitthesimilaritiesbetweenmultipleimagestoimprovethereconstructionquality.InthecaseofX-rayCT,apriorimagecanbealow-doseCTscanfromthesamepatientorasimilaranatomicalregion.Incorporatingpriorimageconstraintshelpstopreserveanatomicaldetailsandreducenoise. 4.ImprovedPriorImage-ConstrainedCSReconstructionMethod(300words) Ourproposedmethodenhancesthepriorimage-constrainedCSreconstructionbyintroducingtwokeymodifications.Firstly,weintroduceanadaptiveweightadjustmentschemetobalancethecontributionsofthelow-doseCTscanandthecompressedsensingreconstruction.Thisadaptiveweightingpreventsover-relianceonthepriorimagewhenthedatafidelitytermisstrong,thusmaintainingtheaccuracyofthereconstruction. Secondly,weuseaniterativerefinementproceduretorefinetheinitialpriorimage-constrainedCSreconstruction.Thisiterativeprocessenhancesthei