A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in childhood

NeuroImage

Volumn 82, Issue , 2013, Pages 393-402

  Aubert Broche, B ^a   Fonov, V S ^a   Garcia Lorenzo D ^a,b   Mouiha, A ^a   Guizard, N ^a   Coupe P ^a,c   Eskildsen, S F ^a,d   Collins, D L ^a  

^a MCGILL UNIVERSITY   (Canada)

^b PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^c CNRS   (France)

^d AARHUS UNIVERSITY   (Denmark)

Author keywords

Brain development; Growth trajectories; Longitudinal analysis; Longitudinal brain MRI; Structural volume analysis

Indexed keywords

ACCURACY; ADOLESCENT; ADULT; ANALYTIC METHOD; ARTICLE; BRAIN GROWTH; BRAIN RADIOGRAPHY; BRAIN SIZE; CHILD; CLASSIFICATION; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DATA ANALYSIS; DATA BASE; GRAY MATTER; GROWTH CURVE; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; LINEAR SYSTEM; LONGITUDINAL STUDY; NEUROANATOMY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RELIABILITY; STATISTICAL MODEL; STRUCTURE ANALYSIS;

BRAIN DEVELOPMENT; GROWTH TRAJECTORIES; LONGITUDINAL ANALYSIS; LONGITUDINAL BRAIN MRI; STRUCTURAL VOLUME ANALYSIS;

ALGORITHMS; BRAIN; CHILD; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; REPRODUCIBILITY OF RESULTS;

EID: 84879724941     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.05.065     Document Type: Article

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