False discovery rate control in magnetic resonance imaging studies via markov random fields

IEEE Transactions on Medical Imaging

Volumn 33, Issue 8, 2014, Pages 1735-1748

  Nguyen, Hien D ^a   McLachlan, Geoffrey J ^a   Cherbuin, Nicolas ^b   Janke, Andrew L ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

False discovery rate; magnetic resonance imaging; Markov random field; mixture model; neuroimaging

Indexed keywords

IMAGE SEGMENTATION; MARKOV PROCESSES; NEUROIMAGING;

FALSE DISCOVERY RATE; MARKOV RANDOM FIELDS; MIXTURE MODEL; PSEUDO-LIKELIHOOD INFORMATION CRITERIONS; SPATIAL DEPENDENCIES; SPATIAL RELATIONSHIPS; STATISTICAL HYPOTHESIS; STATISTICAL PROPERTIES;

MAGNETIC RESONANCE IMAGING;

ADULT; AGING; ARTICLE; ARTIFACT REDUCTION; BRAIN; CONTROLLED STUDY; FALSE DISCOVERY RATE; FALSE POSITIVE RESULT; HUMAN; HYPOTHESIS; MAJOR CLINICAL STUDY; MARKOV RANDOM FIELD; MAXIMUM LIKELIHOOD METHOD; MAXIMUM PSEUDO LIKELIHOOD ESTIMATION; MORPHOMETRICS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY; PSEUDO LIKELIHOOD INFORMATION CRITERION; SIMULATION; SPATIAL AUTOCORRELATION ANALYSIS; AGED; ALGORITHM; ANATOMY AND HISTOLOGY; COMPUTER SIMULATION; DIAGNOSTIC ERROR; IMAGE PROCESSING; MIDDLE AGED; PREVENTION AND CONTROL; PROCEDURES; VERY ELDERLY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BRAIN; COMPUTER SIMULATION; DIAGNOSTIC ERRORS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; MIDDLE AGED; NEUROIMAGING; YOUNG ADULT;

EID: 84905589655     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2014.2322369     Document Type: Article

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