Automatic whole brain MRI segmentation of the developing neonatal brain

IEEE Transactions on Medical Imaging

Volumn 33, Issue 9, 2014, Pages 1818-1831

  Makropoulos, Antonios ^a,b   Gousias, Ioannis S ^c   Ledig, Christian ^a   Aljabar, Paul ^b   Serag, Ahmed ^d   Hajnal, Joseph V ^b   Edwards, A David ^b   Counsell, Serena J ^b   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b ST THOMAS HOSPITAL   (United Kingdom)

^c HAMMERSMITH HOSPITAL   (United Kingdom)

^d CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

Author keywords

Expectation maximization; hierarchical modelling; image segmentation; model averaging; neonatal brain MRI; partial volume

Indexed keywords

BRAIN; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

AUTOMATIC SEGMENTATIONS; BRAIN MRI; EXPECTATION MAXIMIZATION; GROWTH AND DEVELOPMENT; MODEL AVERAGING; PARTIAL VOLUMES; SEGMENTATION ALGORITHMS; STRUCTURAL HIERARCHIES;

MAGNETIC RESONANCE;

ALGORITHM; ANATOMY AND HISTOLOGY; BRAIN; GROWTH, DEVELOPMENT AND AGING; HUMAN; IMAGE PROCESSING; NEUROIMAGING; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; REPRODUCIBILITY;

ALGORITHMS; BRAIN; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFANT, NEWBORN; MAGNETIC RESONANCE IMAGING; NEUROIMAGING; REPRODUCIBILITY OF RESULTS;

EID: 84906877874     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2014.2322280     Document Type: Article

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