A statistical parts-based model of anatomical variability

IEEE Transactions on Medical Imaging

Volumn 26, Issue 4, 2007, Pages 497-508

  Toews, Matthew ^a   Arbel, Tal ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Intersubject variability; Invariant feature; Parts based model; Statistical appearance model

Indexed keywords

BRAIN MODELS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; PERTURBATION TECHNIQUES; STATISTICAL METHODS;

ACTIVE APPEARANCE MODEL (AAM); INTERSUBJECT VARIABILITY; INVARIANT FEATURES; PARTS-BASED MODELS; STATISTICAL APPEARANCE MODELS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 34047097846     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.892510     Document Type: Article

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