A stochastic model for studying the laminar structure of cortex from MRI

IEEE Transactions on Medical Imaging

Volumn 24, Issue 6, 2005, Pages 728-742

  Barta, Patrick ^a,b   Miller, Michael I ^a   Qiu, Anqi ^c  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c Johns Hopkins University   (United States)

Author keywords

Cortical thickness; Intensity distance histogram (IDH); Normal distance; Partial volume effect

Indexed keywords

BRAIN; DECISION THEORY; INTEGRATION; MAXIMUM LIKELIHOOD ESTIMATION; NEUROLOGY; RANDOM PROCESSES; STATISTICAL METHODS;

CORTICAL THICKNESS; INTENSITY-DISTANCE HISTOGRAM (IDH); NORMAL DISTANCE; PARTIAL VOLUME EFFECTS;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN CORTEX; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS; THREE DIMENSIONAL IMAGING;

ALGORITHMS; CEREBRAL CORTEX; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STOCHASTIC PROCESSES;

EID: 20744438796     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2005.846861     Document Type: Article

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