3D biplanar statistical reconstruction of scoliotic vertebrae

Studies in Health Technology and Informatics

Volumn 91, Issue , 2002, Pages 281-285

  Benameur, S ^a,c,e   Mignotte, M ^a,c   Parent, S ^a,b   Labelle, H ^b   Skalli, W ^d   De Guise, J A ^a  

^a NOTRE DAME HOSPITAL   (Canada)

^b UNIVERSITY OF MONTREAL   (Canada)

^c UNIVERSITÉ DE MONTRÉAL   (Canada)

^d LABORATOIRE DE BIOMÉCANIQUE   (France)

^e ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; DEFORMATION; MUSCULOSKELETAL SYSTEM; POPULATION STATISTICS;

3D RECONSTRUCTION PROBLEMS; DEFORMABLE TEMPLATES; GEOMETRICAL STRUCTURE; GRADIENT DESCENT TECHNIQUES; KARHUNEN LOEVE EXPANSION; RADIOGRAPHIC IMAGES; RECONSTRUCTION METHOD; STATISTICAL RECONSTRUCTION;

IMAGE RECONSTRUCTION;

ARTICLE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; LUMBAR VERTEBRA; MATHEMATICAL COMPUTING; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SCOLIOSIS; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VERTEBRA;

ARTIFICIAL INTELLIGENCE; HUMANS; IMAGING, THREE-DIMENSIONAL; LUMBAR VERTEBRAE; MATHEMATICAL COMPUTING; MODELS, STATISTICAL; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SCOLIOSIS; SENSITIVITY AND SPECIFICITY; THORACIC VERTEBRAE;

EID: 16544374698     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-935-6-281     Document Type: Conference Paper

References (9)

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