NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns

NeuroImage

Volumn 138, Issue , 2016, Pages 28-42

  Kim, Hosung ^a   Lepage, Claude ^b   Maheshwary, Romir ^a   Jeon, Seun ^b   Evans, Alan C ^b   Hess, Christopher P ^a   Barkovich, A James ^a   Xu, Duan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

CIVET; Cortical folding; Neonatal brain MRI; Preterm birth; Surface extraction

Indexed keywords

ACCURACY; ANTHROPOMETRIC PARAMETERS; ARTICLE; ARTIFACT; BRAIN CORTEX; BRAIN DEVELOPMENT; CLASSIFICATION ALGORITHM; CORTICAL GYRIFICATION; GESTATIONAL AGE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; LABEL FUSION APPROACH; MEAN CURVATURE; MORPHOLOGY; MORPHOMETRICS; NEOCIVET; NEONATAL TEMPLATE CONSTRUCTION; NEUROIMAGING; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PATCH BASED TEXTURE MODELING; PREMATURITY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SPATIOTEMPORAL ANALYSIS; SULCAL DEPTH; ALGORITHM; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; MOTION; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFACTS; CEREBRAL CORTEX; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT, NEWBORN; INFANT, PREMATURE; MAGNETIC RESONANCE IMAGING; MOTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84975799336     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.05.034     Document Type: Article

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