Artificial neural network prediction of ischemic tissue fate in acute stroke imaging

Journal of Cerebral Blood Flow and Metabolism

Volumn 30, Issue 9, 2010, Pages 1661-1670

  Huang, Shiliang ^a   Shen, Qiang ^a   Duong, Timothy Q ^a,b  

^a UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^b SOUTH TEXAS VETERANS HEALTH CARE SYSTEM   (United States)

Author keywords

ANN; DWI; ischemic penumbra; perfusiondiffusion mismatch; predictive model; PWI

Indexed keywords

ACCURACY; ACUTE DISEASE; ACUTE STROKE; ALGORITHM; ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; APPARENT DIFFUSION COEFFICIENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN BLOOD FLOW; BRAIN INFARCTION; BRAIN ISCHEMIA; BRAIN TISSUE; DIFFUSION COEFFICIENT; HISTOLOGY; ISCHEMIC TISSUE FATE; MIDDLE CEREBRAL ARTERY OCCLUSION; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PREDICTOR VARIABLE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RAT; RECEIVER OPERATING CHARACTERISTIC; SPIN SPIN RELAXATION TIME CONSTANT; STROKE; ANIMAL; CEREBRAL ARTERY DISEASE; CEREBROVASCULAR ACCIDENT; CLUSTER ANALYSIS; DEVICES; DIFFUSION; IMAGE PROCESSING; NERVE CELL; PATHOLOGY; PHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES; SPRAGUE DAWLEY RAT; STATISTICAL ANALYSIS;

ALGORITHMS; ANIMALS; BRAIN ISCHEMIA; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; DIFFUSION; IMAGE PROCESSING, COMPUTER-ASSISTED; INFARCTION, MIDDLE CEREBRAL ARTERY; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS (COMPUTER); NEURONS; PREDICTIVE VALUE OF TESTS; RATS; RATS, SPRAGUE-DAWLEY; STROKE;

EID: 77956266570     PISSN: 0271678X     EISSN: None     Source Type: Journal    
DOI: 10.1038/jcbfm.2010.56     Document Type: Article

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