2021
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications
Goparaju A, Iyer K, Bône A, Hu N, Henninger H, Anderson A, Durrleman S, Jacxsens M, Morris A, Csecs I, Marrouche N, Elhabian S. Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. Medical Image Analysis 2021, 76: 102271. PMID: 34974213, PMCID: PMC8792348, DOI: 10.1016/j.media.2021.102271.Peer-Reviewed Original ResearchConceptsStatistical shape modelShape modelPopulation-level variabilityDevelopment of open-source computational toolsAnalysis of anatomical shapesEvaluating shape modelsSurface correspondenceQualitative metricsSPHARM-PDMMorphometric approachOpen-source computational toolsValidation frameworkGroupwise approachClinical applicationModeling toolsLevel of consistencyPopulation-level statisticsDeformetrica
2018
Left and right ventricular parameters corrected with threshold-based quantification method in a normal cohort analyzed by three independent observers with various training-degree
Csecs I, Czimbalmos C, Suhai F, Mikle R, Mirzahosseini A, Dohy Z, Szűcs A, Kiss A, Simor T, Tóth A, Merkely B, Vágó H. Left and right ventricular parameters corrected with threshold-based quantification method in a normal cohort analyzed by three independent observers with various training-degree. The International Journal Of Cardiovascular Imaging 2018, 34: 1127-1133. PMID: 29492774, DOI: 10.1007/s10554-018-1322-4.Peer-Reviewed Original ResearchConceptsCardiac magnetic resonancePapillary musclesInterobserver agreementIndependent observersShort-axis cine imagesCardiac magnetic resonance scansRight ventricular parametersRV ejection fractionRight ventricular functionInvestigate interobserver variabilityGlobal intraclass correlation coefficientAssess LVIntraclass correlation coefficientRV parametersEjection fractionVentricular parametersVentricular functionHealthy volunteersCine imagesLV parametersEnd-diastolicInterobserver variabilityMeasure LVEnd-systoleTB method