Statistical models of sets of curves and surfaces based on currents

Medical Image Analysis

Volumn 13, Issue 5, 2009, Pages 793-808

  Durrleman, Stanley ^a,b   Pennec, Xavier ^a   Trouvé, Alain ^b   Ayache, Nicholas ^a  

^a INRIA   (France)

^b UNIVERSITÉ PARIS SACLAY   (France)

Author keywords

Anatomical variability; Approximation; Atlas estimation; Computational anatomy; Currents; Curves; Group classification; Matching pursuit algorithm; Registration; Shape space; Sparse decomposition; Statistics; Surfaces; Template

Indexed keywords

ANATOMICAL VARIABILITY; APPROXIMATION; ATLAS ESTIMATION; COMPUTATIONAL ANATOMY; CURRENTS; CURVES; GROUP CLASSIFICATION; MATCHING PURSUIT ALGORITHM; REGISTRATION; SHAPE SPACE; SPARSE DECOMPOSITION; TEMPLATE;

APPROXIMATION ALGORITHMS; COMPUTER GRAPHICS; DEFORMATION; IMAGE ANALYSIS; NUMERICAL METHODS;

POPULATION STATISTICS;

ACCURACY; ALGORITHM; AMYGDALOID NUCLEUS; ANATOMICAL VARIATION; ARTICLE; BRAIN REGION; CALCULATION; CAUDATE NUCLEUS; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; GEOMETRY; GLOBUS PALLIDUS; HIPPOCAMPUS; HUMAN; MATCHING PURSUIT ALGORITHM; NORMAL HUMAN; PRIORITY JOURNAL; PUTAMEN; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; WHITE MATTER;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 68949175350     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2009.07.007     Document Type: Article

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