Automated 3-D PDM construction from segmented images using deformable models

IEEE Transactions on Medical Imaging

Volumn 22, Issue 8, 2003, Pages 1005-1013

  Kaus, Michael R ^a   Pekar, Vladimir ^a   Lorenz, Christian ^a   Truyen, Roel ^b   Lobregt, Steven ^b   Weese, Jürgen ^a  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

^b PHILIPS HEALTHCARE   (United States)

Author keywords

Computed tomography (CT); Deformable models; Image processing; Segmentation; Shape models

Indexed keywords

COMPUTERIZED TOMOGRAPHY; IMAGE ANALYSIS; MATHEMATICAL MODELS; STATISTICAL METHODS;

POINT DISTRIBUTION MODELS (PDM);

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EPIPHYSIOLYSIS; EVALUATION; FEMUR; HUMAN; IMAGE QUALITY; LUMBAR VERTEBRA; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; EPIPHYSES, SLIPPED; FEMUR; HUMANS; IMAGING, THREE-DIMENSIONAL; LUMBAR VERTEBRAE; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0042527165     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2003.815864     Document Type: Article

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