Multiparametric iterative self-organizing data analysis of ischemic lesions using pre- or post-Gd T1 MRI

Cerebrovascular Diseases

Volumn 23, Issue 2-3, 2007, Pages 91-102

  Soltanian Zadeh, Hamid ^a,d   Bagher Ebadian, Hassan ^b   Ewing, James R ^b   Mitsias, Panayiotis D ^b   Kapke, Alissa ^a   Lu, Mei ^a   Jiang, Quan ^b   Patel, Suresh C ^a   Chopp, Michael ^b,c  

^a HENRY FORD HEALTH SYSTEM   (United States)

^b HENRY FORD HOSPITAL   (United States)

^c OAKLAND UNIVERSITY   (United States)

^d UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Medical image analysis; Multiparametric MRI; Stroke; Tissue segmentation and characterization

Indexed keywords

GADOLINIUM PENTETATE;

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BRAIN DAMAGE; BRAIN ISCHEMIA; CLINICAL ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; HUMAN; MALE; MULTIPARAMETRIC ITERATIVE SELF ORGANIZING DATA ANALYSIS; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RAT; STROKE; TISSUE INJURY; TISSUE REGENERATION;

ALGORITHMS; ANIMALS; BRAIN ISCHEMIA; CEREBROVASCULAR ACCIDENT; CLUSTER ANALYSIS; CONTRAST MEDIA; DIFFUSION MAGNETIC RESONANCE IMAGING; DISEASE MODELS, ANIMAL; ECHO-PLANAR IMAGING; GADOLINIUM DTPA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MICHIGAN; PREDICTIVE VALUE OF TESTS; RATS; RATS, WISTAR; REGISTRIES; SEVERITY OF ILLNESS INDEX; TIME FACTORS;

EID: 33846899717     PISSN: 10159770     EISSN: None     Source Type: Journal    
DOI: 10.1159/000097044     Document Type: Article

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