Morphology-driven automatic segmentation of MR images of the neonatal brain

Medical Image Analysis

Volumn 16, Issue 8, 2012, Pages 1565-1579

  Gui, Laura ^a   Lisowski, Radoslaw ^a   Faundez, Tamara ^a   Hüppi, Petra S ^a   Lazeyras, François ^a   Kocher, Michel ^b  

^a UNIVERSITY OF GENEVA   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

Automatic segmentation; Magnetic resonance imaging; Mathematical morphology; Neonatal brain; Watershed segmentation

Indexed keywords

ADULT BRAIN; AUTOMATIC SEGMENTATIONS; BRAIN DEVELOPMENT; BRAIN MRI; BRAINSTEM; GRAY MATTER; MANUAL INTERACTION; MANUAL SEGMENTATION; MEDICAL EXPERTS; MR IMAGES; NEONATAL POPULATION; QUALITY IMAGE; QUANTITATIVE COMPARISON; STATE-OF-THE-ART METHODS; TISSUE LEVELS; TISSUE PROPERTIES; VISUAL INSPECTION; WATERSHED SEGMENTATION; WHITE MATTER;

ALGORITHMS; BRAIN; CEREBROSPINAL FLUID; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MORPHOLOGY; TISSUE;

NEUROIMAGING;

ALGORITHM; ARTICLE; BRAIN; BRAIN DEVELOPMENT; BRAIN STEM; BRAIN VENTRICLE DILATATION; CEREBELLUM; CEREBROSPINAL FLUID; GRAY MATTER; HEMISPHERE; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; KNOWLEDGE; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; WHITE MATTER;

ALGORITHMS; BRAIN; BRAIN STEM; CEREBELLUM; HUMANS; INFANT, NEWBORN; MAGNETIC RESONANCE IMAGING;

EID: 84870060046     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2012.07.006     Document Type: Article

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