Adapting active shape models for 3D segmentation of tubular structures in medical images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2732, Issue , 2003, Pages 136-147

  De Bruijne, Marleen ^a   Van Ginneken, Bram ^a   Viergever, Max A ^a   Niessen, Wiro J ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DEFORMATION; FACE RECOGNITION; MEDICAL IMAGING;

3D SEGMENTATION; ACTIVE SHAPE MODEL; ACTIVE SHAPE MODELS; APPEARANCE MODELING; CROSS-SECTIONAL DEFORMATION; DEFORMATION MODES; SHAPE APPROXIMATION; STATISTICAL SHAPE MODEL;

IMAGE SEGMENTATION;

ABDOMINAL AORTA; ABDOMINAL AORTA ANEURYSM; ALGORITHM; ANATOMY; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; NONLINEAR SYSTEM; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ANATOMY, CROSS-SECTIONAL; AORTA, ABDOMINAL; AORTIC ANEURYSM, ABDOMINAL; COMPUTER SIMULATION; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 21144434898     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45087-0_12     Document Type: Article

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