论文部分内容阅读
PurposeMRreal-timecineimaginggreatlyextendsthediagnosticcapabilityofcardiacMR.However,respiration-inducedmultislice misalignmentresultedininaccuratevolumetricmeasurement.Todate,themostcommonanalysiswayistovisuallyidentify end-respiratorycardiaccycles,whichisnotfavoredinroutinesettings.Recently,anovelmethodwasproposedtodetermine end-expiratoryEDandESimages.Here,themethodwasadvancedforsemiautomaticmeasurementofLVcavityareaand volumetricindices.Itsfeasibilitywasexploredinacohortofcardiacpatients. Methods20cardiacpatientswerescannedwithreal-timecineimagingat3TwithparametersofTR/TE=2.5/1.1ms,matrix size=176X96,FOV=360X270mm2,10mmslicethickness,TGRAPPA=4,temporalresolution=61ms,scantime=4.5s/slice. RespirationmotionandcardiaccontractionwereattainedfromLVcentroiddisplacementandLVcavityarea.End-expiratoryED andESphaseswereidentifiedwithslice-basedEDV,ESV,SVandEFquantified.3representativeslicesatapex,middleventricle andbasewereselected.Endocardialcontourswerealsodeterminedby2observers.Bland-Altmanandlinearregressionanalyses wereconducted,andStudentst-testwasperformed. ResultsStrongcorrelationwasobtainedbetweenthetwomethodswithaveragecorrelationcoefficientsof0.87±0.09,0.93± 0.06,and0.96±0.05forcinesatapex,middleventricleandbase.Theaverageddifferencesofslice-basedindicesbetweenthe twomethodswere0.04±0.18mlforEDV,0.04±0.18mlforESV,-0.01±0.26mlforSV,and-0.5±1.4%forEF.Allpairedmeasures exhibitedastrongcorrelation(R>0.99)withoutsignificantdifference(P>0.05). ConclusionWithconcurrentdeterminationofbothrespiratoryandcardiacmotions,theproposedmethodcouldreliablyidentify end-respiratoryEDandESimageswithLVfunctionsaccuratelyquantified,providinganovelwayforeffectiveassessmentofLV functionanddiagnosisofheartdiseasesusingreal-timecineMRI.