Fast and robust 3D vertebra segmentation using statistical shape models

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 3379-3382

  Mirzaalian, Hengameh ^a,b   Wels, Michael ^b   Heimann, Tobias ^b   Kelm, B Michael ^b   Suehling, Michael ^b  

^a SIMON FRASER UNIVERSITY   (Canada)

^b SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANNOTATED TRAINING DATA; CONTEXTUAL INFORMATION; DISCRIMINATIVE MODELS; PRIOR INFORMATION; SEGMENTATION ACCURACY; SEGMENTATION ALGORITHMS; STATISTICAL SHAPE MODEL; SURFACE APPEARANCE;

IMAGE SEGMENTATION; MUSCULOSKELETAL SYSTEM;

THREE DIMENSIONAL;

ALGORITHM; ANATOMY AND HISTOLOGY; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; RADIOGRAPHY; REPRODUCIBILITY; SPINE; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, ANATOMIC; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SPINE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84886469891     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610266     Document Type: Conference Paper

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