Automatic shape model building based on principal geodesic analysis bootstrapping

Medical Image Analysis

Volumn 12, Issue 2, 2008, Pages 136-151

  Dam, Erik B ^a   Fletcher, P Thomas ^b   Pizer, Stephen M ^b  

^a NORDIC BIOSCIENCE A S   (Denmark)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Correspondence; Principal geodesic analysis; Shape mean; Shape modeling; Shape variation

Indexed keywords

CARTILAGE; CONVERGENCE OF NUMERICAL METHODS; IMAGE ACQUISITION; ITERATIVE METHODS; MAPS;

AUTOMATIC SHAPE MODEL; BOOTSTRAP METHOD; PRINCIPAL GEODESIC ANALYSIS; SHAPE REPRESENTATION;

MEDICAL IMAGING;

ADULT; AGED; ARTICLE; ARTICULAR CARTILAGE; AUTOMATION; BOOTSTRAPPING; CHONDROPATHY; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; KNEE OSTEOARTHRITIS; MALE; MATHEMATICAL COMPUTING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS OPTIMIZATION; PROSTATE CANCER; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 41949110364     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2007.08.004     Document Type: Article

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