MRI based diffusion and perfusion predictive model to estimate stroke evolution

Magnetic Resonance Imaging

Volumn 19, Issue 8, 2001, Pages 1043-1053

  Rose, Stephen E ^a   Chalk, Jonathan B ^a   Griffin, Mark P ^a   Janke, Andrew L ^a   Chen, Fang ^c   McLachan, Geoffrey J ^a   Peel, David ^a   Zelaya, Fernando O ^d   Markus, Hugh S ^g   Jones, Derek K ^e   Simmons, Andrew ^g   O'Sullivan, Michael ^g   Jarosz, Jo M ^g   Strugnell, Wendy ^b   Doddrell, David M ^a   Semple, James ^f  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b PRINCESS ALEXANDRA HOSPITAL   (Australia)

^c FLOREY INSTITUTE OF NEUROSCIENCE AND MENTAL HEALTH   (Australia)

^d KING'S COLLEGE LONDON   (United Kingdom)

^e LEICESTER ROYAL INFIRMARY   (United Kingdom)

^f GLAXOSMITHKLINE   (United Kingdom)

^g NONE

Author keywords

Acute stroke; Diffusion and perfusion; Magnetic resonance imaging

Indexed keywords

GADOLINIUM PENTETATE;

AGED; ARTICLE; AUTOMATION; BRAIN BLOOD FLOW; BRAIN PERFUSION; BRAIN SIZE; CLINICAL ARTICLE; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DIFFUSION; DISEASE COURSE; FEMALE; HEMODYNAMICS; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; MALE; MEASLES VIRUS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOGENESIS; PRIORITY JOURNAL; PROCESS MODEL; QUANTITATIVE DIAGNOSIS; SENSITIVITY AND SPECIFICITY; STROKE; VALIDATION PROCESS; ALGORITHM; BIOLOGICAL MODEL; BLOOD FLOW VELOCITY; BLOOD VOLUME; BRAIN; BRAIN CIRCULATION; CEREBROVASCULAR ACCIDENT; METHODOLOGY; PATHOPHYSIOLOGY; PREDICTION AND FORECASTING; VASCULARIZATION;

AGED; ALGORITHMS; BLOOD FLOW VELOCITY; BLOOD VOLUME; BRAIN; CEREBROVASCULAR ACCIDENT; CEREBROVASCULAR CIRCULATION; DISEASE PROGRESSION; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, BIOLOGICAL; PREDICTIVE VALUE OF TESTS;

EID: 0035490360     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0730-725X(01)00435-0     Document Type: Article

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