简介:Inrecentyears,pulsemagneticstimulationtechniquehasbeenpaidmoreandmoreattentionbythepeopleengagedinnoninvasivediagnosisandtherapywork.Comparedwithelectricstimulation,ithastheadvantagesofbeingnoninvasive,pain-lessandsafe,andhasbeenusedtoexamineandtreatdisordersofnervesystemsuc-cessfully.Applicationinotherfieldsisstillachallengetomanyresearchers.Wehave
简介:EFFECTSOFPULSEMAGNETICFIELDONCHANGESOFRHEOLOGICALPROPERTYEFFECTSOFPULSEMAGNETICFIELDONCHANGESOFRHEOLOGICALPROPERTYWangTianyou...
简介:Objective:Thispaperaimstodesigningapulsedstrongmagneticfieldsgenerator.Methods:Alargevaluecapacitorwasusedtostoreelectricenergy,coilwasusedforproducingmagneticfields,maincontrol,circuitcontrolcharge,sampling,discharge,etc.Results:Thegeneratorprovidedapulsedmagneticfieldwiththeamplitudeofintensityfrom0.1-2Tandvariabletimeintervalofpulsefrom4s-1min.Itwasnotonlytobeoperatedeasilybutalsoperformedreliably.Conclusion:Thegeneratorwillbeappliedinspecialclinicaldiagnosis,therapyandotherfields.
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简介:INTRODUCTIONMagneticstimulationistheprocessofstimulatingexcitabletissuebyatime-varying,intensemagneticfieldwhichinducesanelec...
简介:Thispaperaimstomeettherequirementsofreducingthescanningtimeofmagneticresonanceimaging(MRI),acceleratingMRIandreconstructingahighqualityimagefromlessacquisitiondataasmuchaspossible.MRImethodbasedoncompressedsensing(CS)withmultipleregularizations(tworegularizationsincludingtotalvariation(TV)normandL1normorthreeregularizationsconsistingoftotalvariation,L1normandwavelettreestructure)isproposedinthispaper,whichisimplementedbyapplyingsplitaugmentedlagrangianshrinkagealgorithm(SALSA).TosolvemagneticresonanceimagereconstructionproblemswithlinearcombinationsoftotalvariationandL1norm,weutilizedcompositesplitdenoising(CSD)tosplittheoriginalcomplexproblemintoTVnormandL1normregularizationsubproblemswhichweresimpleandeasytobesolvedrespectivelyinthispaper.Thereconstructedimagewasobtainedfromtheweightedaverageofsolutionsfromtwosubproblemsinaniterativeframework.BecauseeachofthesplittedsubproblemscanberegardedasMRImodelbasedonCSwithsingleregularization,andforsolvingthekindofmodel,splitaugmentedlagrangealgorithmhasadvantageoverexistingfastalgorithmsuchasfastiterativeshrinkagethresholding(FIST)andtwostepiterativeshrinkagethresholding(TwIST)inconvergencespeed.Therefore,weproposedtoadoptSALSAtosolvethesubproblems.Moreover,inordertosolvemagneticresonanceimagereconstructionproblemswithlinearcombinationsoftotalvariation,L1normandwavelettreestructure,wecansplittheoriginalproblemintothreesubproblemsinthesamemanner,whichcanbeprocessedbyexistingiterationscheme.Agreatdealofexperimentalresultsshowthattheproposedmethodscaneffectivelyreconstructtheoriginalimage.ComparedwithexistingalgorithmssuchasTVCMRI,RecPF,CSA,FCSAandWaTMRI,theproposedmethodshavegreatlyimprovedthequalityofthereconstructedimagesandhavebettervisualeffect.
简介:Themajortherapyforischemicstrokeisthrombolytictreatment,butsevereconsequencesoccurwhenthismethodisusedtotreathemorrhagicstroke.Currently,computedtomographyandmagneticresonanceimagingareusedtodifferentiatebetweentwotypesofstroke,butthesetwomethodsarein-effectiveforpre-hospitalcare.