Neonatal brain MRI segmentation: A review

Computers in Biology and Medicine

Volumn 64, Issue , 2015, Pages 163-178

  Devi, Chelli N ^a   Chandrasekharan, Anupama ^b   Sundararaman, V K ^c   Alex, Zachariah C ^a  

^a VIT UNIVERSITY   (India)

^b SRI RAMACHANDRA UNIVERSITY   (India)

^c Innovation Centre   (India)

Author keywords

Automatic segmentation algorithms; Brain atlas; Intracranial segmentation; Magnetic resonance imaging; Neonatal brain; Tissue classification

Indexed keywords

ALGORITHMS; BRAIN; TISSUE;

AUTOMATED TISSUES; AUTOMATIC SEGMENTATIONS; BRAIN ATLAS; BRAIN SEGMENTATION; BRAIN TISSUE SEGMENTATIONS; SALIENT FEATURES; SEGMENTATION METHODS; TISSUE CLASSIFICATION;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ANATOMICAL CONCEPTS; ANISOTROPY; BRAIN CORTEX; BRAIN DEVELOPMENT; BRAIN MALFORMATION; BRAIN SIZE; BRAIN TISSUE; CONTRAST TO NOISE RATIO; DIFFUSION TENSOR IMAGING; GESTATION PERIOD; GESTATIONAL AGE; HUMAN; INFERIOR CEREBELLAR PEDUNCLE; MEDIAL LONGITUDINAL FASCICULUS; NEUROIMAGING; NEWBORN; NOISE REDUCTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PREMATURE LABOR; PREMATURITY; PRIORITY JOURNAL; REVIEW; SIGNAL NOISE RATIO; ANATOMY AND HISTOLOGY; BRAIN; IMAGE PROCESSING; PROCEDURES;

ALGORITHMS; BRAIN; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFANT, NEWBORN; MAGNETIC RESONANCE IMAGING;

EID: 84937033996     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2015.06.016     Document Type: Review

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