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Summaries23313PART1Thisthesisexploreshowtheclinicalcareofcraniosynostosispatientscanbeimproved through thedeploymentof threedimensional(3D) technology The firstpartdescribeshow3DstereophotogrammetrycanbeimplementedinclinicalpracticetobecomeacornerstoneinthetreatmentofcraniosynostosispatientsDuetoitslowacquisitiontimehighaccuracyreproducibilityandlackofionizingradiation3DstereophotogrammetryistheidealtechniquetodiagnosemonitorandevaluatecranialabnormalitiesInChapter23Dstereophotogrammetrywasusedtoestablishareferencecontrolgrouptogaininsightintothenormaldevelopmentofthecranialshapeofthe(Dutch)populationandinvestigatedthenormalvariationwithinthispopulationSinceearlydetectioniskeyinendoscopicallyassistedcraniosynostosissurgery(EACS)normativereferencedataareessentialtoadequatelydetectpotentialabnormalitiesTheadvanced3DevaluationmethodsdemonstratedinterestingresultsForexamplethisstudyfound thatin the first yearoflife the focusofgrowthisin theanteriorregionof theheadwhilethefocusofgrowthshiftstotheposteriorregionatalaterage Thesefindingsarecrucialbecausetheymakethediagnosisandfollow-upofpatientsmoreadequateandreliableInadditionbecause thesamealignmentandanalysismethodswereusedfordifferentimagemodalities(CTsoft-tissueCThard-tissueand3Dstereophotogrammetry)multimodalityevaluationispossibleChapter3presentsamethodbasedonprincipalcomponentanalysis(PCA)forcranialshapeevaluationThisPCAmodelisabletoautomaticallyisolatethemostimportantshapevariationsinalargesetof3DphotosAsPCAusesonlyafewoutcomemeasurementstodescribethecomplete3DmorphologyofthecranialshapethismethodhasthepotentialtoimprovethecurrentlyusedclinicaldiagnosticmethodsforcranialabnormalitiesThepresentedmodelwastrainedwithcranialshapesofhealthynew-bornsandwasabletosuccessfullyidentifyscaphocephalyortrigonocephalyin40patientsTheresultofthefirstpartisthatthepowerfulcombination(3Dphotoswith3Danalysismethods)allowsustomaketheevaluationofthecranialshapemoreobjectiveandaccurate;itisnowfullynestedintheclinicalworkflowandhasadvancedtheclinicalconsultationsFurthermorethiscombinationmadeitpossibletocreatedatasetsofnormalreferencesandpatientsInadditionsemi
