An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis

NeuroImage

Volumn 59, Issue 4, 2012, Pages 3774-3783

  Schmidt, Paul ^a,b   Gaser, Christian ^c   Arsic, Milan ^a   Buck, Dorothea ^a   Förschler, Annette ^a   Berthele, Achim ^a   Hoshi, Muna ^a   Ilg, Rüdiger ^a   Schmid, Volker J ^b   Zimmer, Claus ^a   Hemmer, Bernhard ^a   Mühlau, Mark ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

^c FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

FLAIR; Lesion segmentation; Multiple Sclerosis; Voxel based morphometry

Indexed keywords

ADULT; ALGORITHM; ARTICLE; AUTOMATION; BRAIN DAMAGE; CEREBROSPINAL FLUID; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FLAIR IMAGE; GRAY MATTER; HUMAN; IMAGE PROCESSING; LESION SEGMENTATION ALGORITHM; MAJOR CLINICAL STUDY; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; POSTERIOR FOSSA; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; WHITE MATTER;

ADULT; HUMANS; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; MULTIPLE SCLEROSIS; NEUROIMAGING; YOUNG ADULT;

EID: 84855223725     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.11.032     Document Type: Article

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