Automatic detection of gadolinium-enhancing multiple sclerosis lesions in brain MRI using conditional random fields

IEEE Transactions on Medical Imaging

Volumn 31, Issue 6, 2012, Pages 1181-1194

  Karimaghaloo, Zahra ^a   Shah, Mohak ^a   Francis, Simon J ^b,c   Arnold, Douglas L ^d   Collins, D Louis ^b,c   Arbel, Tal ^a  

^a MCGILL UNIVERSITY   (Canada)

^b ACCENTURE   (United States)

^c MCGILL UNIVERSITY   (Canada)

^d NEURORX RESEARCH   (Canada)

Author keywords

Gad enhanced lesions; graphical image segmentation; magnetic resonance imaging (MRI); multiple sclerosis; pathology detection

Indexed keywords

AUTOMATIC DETECTION; BRAIN MRI; CLOSE PROXIMITY; CONDITIONAL RANDOM FIELD; DATA SETS; FALSE POSITIVE; GAD-ENHANCED LESIONS; LOGISTIC REGRESSION CLASSIFIER; MARKOV RANDOM FIELDS; MULTI-CENTER CLINICAL TRIALS; MULTI-MODAL; MULTIPLE SCLEROSIS; MULTIPLE SCLEROSIS LESIONS; NORMAL STRUCTURE; PROBABILISTIC FRAMEWORK;

ALGORITHMS; BLOOD VESSELS; BRAIN; CONTENT BASED RETRIEVAL; GADOLINIUM; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; RANDOM PROCESSES; TISSUE;

NEUROIMAGING;

CONTRAST MEDIUM; DIAGNOSTIC AGENT; GADOLINIUM;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; BRAIN; CONTRAST MEDIA; DATA INTERPRETATION, STATISTICAL; GADOLINIUM; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84861908659     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2012.2186639     Document Type: Article

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