Using the model-based residual bootstrap to quantify uncertainty in fiber orientations from q-ball analysis

IEEE Transactions on Medical Imaging

Volumn 28, Issue 4, 2009, Pages 535-550

  Haroon, Hamied A ^a   Morris, David M ^a   Embleton, Karl V ^a   Alexander, Daniel C ^b   Parker, Geoffrey J M ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Bootstrap; High angular resolution diffusion imaging; Magnetic resonance imaging (MRI); Q ball; White matter fiber tractography

Indexed keywords

BOOTSTRAP; BRAIN TISSUES; DATA CALIBRATIONS; DATA SETS; DIFFUSION TENSOR IMAGING; DIFFUSION-WEIGHTED IMAGES; FIBER ORIENTATIONS; HIGH-ANGULAR RESOLUTION DIFFUSION IMAGING; IN FIBERS; MODEL SELECTIONS; MODEL-BASED; MULTIFIBER; NON-PARAMETRIC; Q-BALL; RE-SAMPLING METHODS; RESIDUAL BOOTSTRAPPING; TRACTOGRAPHY; WHITE MATTER FIBER TRACTOGRAPHY; WILD BOOTSTRAPS;

DIFFUSION; LAMINATES; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; POPULATION STATISTICS; SPHERES; TENSORS; UNCERTAINTY ANALYSIS;

FIBERS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER SIMULATION; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY; NERVE FIBER; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS; NEURAL PATHWAYS; PATTERN RECOGNITION, AUTOMATED;

EID: 63849324248     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2008.2006528     Document Type: Article

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