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1、tt24AdvancedNonrigidRegistrationAlgorithmsforImageFusionSimonK.Warfield,*AlexandreGuimond,AlexisRoche,AdityaBharatha,AlidaTei,FlorinTalos,JanRexilius,JuanRuiz-Alzola,Carl-FredrikWestin,StevenHaker,SigurdAngenent,AllenTannenbaum,FerencJolesz,andRonKikinis*Departmentof
2、Radiology,BrighamandWomen’sHospitalandHarvardMedicalSchool,Boston,Massachusetts02115I.Introductionphysicaldeformationprocessesorcanbearesultofmor-phologicalvariability.Forexample,physicaldeformationinII.IntermodalityandMulticontrastImagesthebraincanoccurduringneurosu
3、rgeryasaresultofsuchIII.ImageFusionduringNeurosurgerywithafactorsasswelling,cerebrospinalfluid(CSF)loss,hemor-BiomechanicalModelofBrainDeformationrhage,andtheinterventionitself.NonrigiddeformationisIV.Physics-BasedRegularizationwithanalsocharacteristicoftheorgansands
4、ofttissuesoftheEmpiricalModelofAnatomicalVariabilityabdomenandpelvis.Inaddition,nonrigidmorphologicaldifferencescanarisewhencomparisonsaremadeamongV.RegistrationofDiffusionTensorImagesimagedatasetsacquiredfromdifferentindividuals.TheseVI.TheMonge–KantorovichProbleman
5、dImagechangescanbearesultofnormalanatomicalvariabilityorRegistrationtheproductofpathologicalprocesses.BecausethegrossReferencesstructureofthebrainisessentiallysimilaramonghumanstt(andevenamongrelatedspecies),thefactorsdescribedabovetendtoproducelocalnonrigidshapediff
6、erences.NonrigidbrainregistrationtechniqueshavenumerousI.Introductionapplications.Theyhavebeenusedtoalignscansofdifferentbrains,permittingthecharacterizationofnormalandpatho-Medicalimagesarebroughtintospatialcorrespondence,logicalmorphologicalvariation(brainmapping).
7、Theyhaveoraligned,bytheuseofregistrationalgorithms.Nonrigidalsobeenusedtoalignanatomicaltemplateswithspecificregistrationreferstothesetoftechniquesthatallowthedatasets,thusfacilitatingsegmentation(i.e.,segmentationalignmentofdatasetsthataremismatchedinanonrigid,orbyr
8、egistration).Morerecently,thesetechniqueshavebeennonuniform,manner.Suchmisalignmentscanresultfromusedtocapturechangeswhichoccurduri
