Automated model-based vertebra detection, identification, and segmentation in CT images

Medical Image Analysis

Volumn 13, Issue 3, 2009, Pages 471-482

  Klinder, Tobias ^a,b   Ostermann, Jörn ^a   Ehm, Matthias ^b   Franz, Astrid ^b   Kneser, Reinhard ^b   Lorenz, Cristian ^b  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^b PHILIPS RESEARCH LABORATORIES   (Germany)

Author keywords

Deformable models; Geometric modelling; Vertebra identification; Vertebra labelling; Vertebra segmentation

Indexed keywords

DEFORMABLE MODELS; GEOMETRIC MODELLING; VERTEBRA IDENTIFICATION; VERTEBRA LABELLING; VERTEBRA SEGMENTATION;

DEFORMATION; IMAGE SEGMENTATION;

COMPUTERIZED TOMOGRAPHY;

ARTICLE; AUTOMATION; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE DISPLAY; IMAGE PROCESSING; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PRIORITY JOURNAL; SPINE DISEASE; SPINE RADIOGRAPHY; VERTEBRA;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 67349192210     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2009.02.004     Document Type: Article

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