Principal component based diffeomorphic surface mapping

IEEE Transactions on Medical Imaging

Volumn 31, Issue 2, 2012, Pages 302-311

  Qiu, Anqi ^a,b   Younes, Laurent ^c   Miller, Michael I ^c  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b AGENCY FOR SCIENCE   (Singapore)

^c Johns Hopkins University   (United States)

Author keywords

Diffeomorphisms; initial momentum; surface mapping

Indexed keywords

BAYESIAN MODELING; BOOTSTRAPPING METHOD; CONDITIONAL PROBABILITIES; DECISION-THEORETIC; DIFFEOMORPHIC MAPPING; DIFFEOMORPHIC TRANSFORMATION; DIFFEOMORPHISMS; EIGENSPACES; GEODESIC FLOW; INITIAL MOMENTUM; LARGE DEFORMATIONS; LIKELIHOOD FUNCTIONS; LINEAR SPACES; LOW DIMENSIONAL; MAPPING ACCURACY; POSTERIOR DISTRIBUTIONS; PRINCIPAL COMPONENTS; RANDOM FIELDS; SHAPE PRIORS; SHAPE SPACE; SHAPE VARIATIONS; SURFACE MAPPING; TRAINING SAMPLE; VECTOR VALUED;

CONFORMAL MAPPING; LINEAR TRANSFORMATIONS; MOMENTUM;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84856722608     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2168567     Document Type: Article

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