Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images

Medical Image Analysis

Volumn 18, Issue 7, 2014, Pages 1059-1069

  Ghosh, Nirmalya ^a   Sun, Yu ^b   Bhanu, Bir ^b   Ashwal, Stephen ^a   Obenaus, Andre ^a,b  

^a LOMA LINDA UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Arterial ischemic stroke; Hierarchical region splitting; Hypoxia ischemic injury; Symmetry; Watershed

Indexed keywords

CRYSTAL SYMMETRY; GOLD; WATERSHEDS;

COMPUTATIONAL APPROACH; DIFFUSION WEIGHTED IMAGING; ISCHEMIC INJURIES; ISCHEMIC STROKES; PERFORMANCE METRICS; REGION-SPLITTING; T2-WEIGHTED IMAGING; WATERSHED SEGMENTATION;

MAGNETIC RESONANCE IMAGING;

ACCURACY; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTERIAL ISCHEMIC STROKE; ARTICLE; BRAIN DISEASE; BRAIN INJURY; BRAIN ISCHEMIA; BRAIN SIZE; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIFFUSION WEIGHTED IMAGING; GOLD STANDARD; HIERARCHICAL REGION SPLITTING; HUMAN; INJURY SEVERITY; INTERMETHOD COMPARISON; MODIFIED WATERSHED SEGMENTATION; NEWBORN; NEWBORN HYPOXIA; NONHUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; RAT; SENSITIVITY AND SPECIFICITY; SYMMETRY INTEGRATED REGION GROWING; WATERSHED; ALGORITHM; ANIMAL; COMPUTER ASSISTED DIAGNOSIS; HYPOXIC ISCHEMIC ENCEPHALOPATHY; NEWBORN DISEASE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES; REPRODUCIBILITY;

ALGORITHMS; ANIMALS; ANIMALS, NEWBORN; HUMANS; HYPOXIA-ISCHEMIA, BRAIN; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT, NEWBORN; INFANT, NEWBORN, DISEASES; MAGNETIC RESONANCE IMAGING; RATS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84903784392     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2014.05.002     Document Type: Article

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