Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods

NeuroImage

Volumn 51, Issue 3, 2010, Pages 1047-1056

  de Boer, Renske ^a   Vrooman, Henri A ^a   Ikram, M Arfan ^a   Vernooij, Meike W ^a   Breteler, Monique M B ^a   van der Lugt, Aad ^a   Niessen, Wiro J ^a,b  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Accuracy; Brain tissue segmentation; MRI; Reliability; Reproducibility; Sample size estimates

Indexed keywords

ACCURACY; ADULT; AGED; ANALYTIC METHOD; ARTICLE; BRAIN SIZE; BRAIN TISSUE; CEREBROSPINAL FLUID; CLASSIFIER; CONTROLLED STUDY; FEMALE; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; IMAGING SYSTEM; INTERMETHOD COMPARISON; LONGITUDINAL STUDY; MALE; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; REPRODUCIBILITY; WHITE MATTER;

ALGORITHMS; BRAIN; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77952553098     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.03.012     Document Type: Article

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