Fast semi-automated lesion demarcation in stroke

NeuroImage: Clinical

Volumn 9, Issue , 2015, Pages 69-74

  De Haan, Bianca ^a   Clas, Philipp ^b   Juenger, Hendrik ^b,c   Wilke, Marko ^b   Karnath, Hans Otto ^a,d  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b UNIVERSITY HOSPITAL TÜBINGEN   (Germany)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^d UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Lesion segmentation; Lesion behaviour mapping analyses; Semi automated; SPM toolbox; Stroke

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; AUTOMATION; BRAIN DAMAGE; CEREBROVASCULAR ACCIDENT; CLINICAL ARTICLE; CLUSTERIZE ALGORITHM; FEMALE; HOSPITAL ADMISSION; HUMAN; IMAGE PROCESSING; LEFT HEMISPHERE; MALE; MIDDLE CEREBRAL ARTERY; NEUROIMAGING; POSTERIOR CEREBRAL ARTERY; PRIORITY JOURNAL; RIGHT HEMISPHERE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN ISCHEMIA; COMPUTER ASSISTED DIAGNOSIS; MIDDLE AGED; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BRAIN; BRAIN ISCHEMIA; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; STROKE;

EID: 84939560690     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2015.06.013     Document Type: Article

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