A new method for automated high-dimensional lesion segmentation evaluated in vascular injury and applied to the human occipital lobe

Cortex

Volumn 56, Issue , 2014, Pages 51-63

  Mah, Yee Haur ^a   Jager, Rolf ^a   Kennard, Christopher ^c   Husain, Masud ^a,b,c   Nachev, Parashkev ^a,b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Diffusion weighted imaging; Lesion segmentation; Lesion mapping; Magnetic resonance imaging; Occipital lobe; Stroke; Zeta score

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED HIGH DIMENSIONAL LESION SEGMENTATION; BLOOD VESSEL INJURY; BRAIN ISCHEMIA; BRAIN SIZE; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIFFUSION WEIGHTED IMAGING; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; OCCIPITAL LOBE; RADIOLOGICAL PROCEDURES; SENSITIVITY AND SPECIFICITY; AGED; CEREBROVASCULAR ACCIDENT; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALGORITHMS; BRAIN ISCHEMIA; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEUROIMAGING; OCCIPITAL LOBE; SENSITIVITY AND SPECIFICITY; STROKE;

EID: 84902169555     PISSN: 00109452     EISSN: 19738102     Source Type: Journal    
DOI: 10.1016/j.cortex.2012.12.008     Document Type: Article

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