Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images

NeuroImage: Clinical

Volumn 8, Issue , 2015, Pages 367-375

  Jain, Saurabh ^a   Sima, Diana M ^a,d   Ribbens, Annemie ^a   Cambron, Melissa ^b   Maertens, Anke ^a   Van Hecke, Wim ^a   De Mey, Johan ^b   Barkhof, Frederik ^c   Steenwijk, Martijn D ^c   Daams, Marita ^c   Maes, Frederik ^d,e   Van Huffel, Sabine ^d,e   Vrenken, Hugo ^c   Smeets, Dirk ^a  

^a R D   (Belgium)

^b UNIVERSITY HOSPITAL BRUSSELS   (Belgium)

^c VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^d UNIVERSITY OF LEUVEN   (Belgium)

^e IMinds Medical IT   (Belgium)

Author keywords

Brain segmentation; Magnetic resonance imaging; Multiple sclerosis; White matter lesions

Indexed keywords

ARTICLE; AUTOMATION; BRAIN SIZE; BRAIN TISSUE; CEREBROSPINAL FLUID; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST ACCURACY STUDY; FLUID ATTENUATED INVERSION RECOVERY IMAGING; GRAY MATTER; HUMAN; IMAGING SOFTWARE; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VOLUMETRY; WHITE MATTER LESION; WHOLE BODY SCANNER; CLINICAL TRIAL; IMAGE PROCESSING; MULTICENTER STUDY; PATHOLOGY; PROCEDURES; WHITE MATTER;

HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; WHITE MATTER;

EID: 84930678600     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2015.05.003     Document Type: Article

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