Automated bone segmentation from pelvic CT images

Proceedings - 2008 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW

Volumn , Issue , 2008, Pages 41-47

  Vasilache, Simina ^a   Najarian, Kayvan ^a  

^a Virginia Commonwealth University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; BONE; COMPUTERIZED TOMOGRAPHY; ELECTRIC INSTRUMENT TRANSFORMERS; IMAGE ENHANCEMENT; TECHNICAL PRESENTATIONS;

AUTOMATED DECISION MAKING SYSTEMS; AUTOMATED SEGMENTATIONS; AUTOMATED SYSTEMS; BONE SEGMENTATIONS; BONE TISSUES; COMPUTATIONALLY EFFICIENT; CT IMAGES; DIAGNOSTIC DECISIONS; GRADIENT BASED; LAPLACIAN; MORPHOLOGY OPERATIONS; PELVIC INJURIES; REGION GROWING; SEGMENTATION METHODS; WAVELET PROCESSING;

AUTOMATION;

EID: 58049164445     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBMW.2008.4686207     Document Type: Conference Paper

References (17)

1. A. M. Authors and P. Jackway. An improved seeded region growing algorithm. Pattern Recognition Letters, 18(10):1065-1071, October 1997.
2. B.-M. Y. Authors, D. M. Coldwell, J. W. R. Young, and A. R. Burgess. Hemorrhage associated with pelvic fractures: causes, diagnosis, and emergent management. American Journal of Roentgenology, 157(5):1005-1014, November 1991.
3. D. L. P. Authors, C. Xu, and J. L. Prince. A survey of current methods in medical image segmentation. In Annual Review of Biomedical Engineering, January 1998.
4. E. C. G. Authors, A. R. Burgess, S. M.-G. John H. Siegel, P. C. Dischinger, and S. M. Ho. Pelvic fracture mechanism of injury in vehicular trauma patients. The Journal of Trauma, 36(6):789-796, June 1994.
5. H. G. Authors, A. Ruf, and J. Goldberger. Constrained gaussian mixture model framework for automatic segmentation of mr brain images. In IEEE Transactions on Medical Imaging, volume 25, pages 1233-1245, September 2006.
6. H.-K. Z. Authors, S. Oshert, and R. Fedkiwt. Fast surface reconstruction using the level set method. In IEEE Workshop on Variational and Level Set Methods in Computer Vision, pages 194-201, 2001.
7. J. V. S. Authors, R. E. Broadhurst, S. M. Pizer, and E. L. Chaney. Regional Appearance in Deformable Model Segmentation. His Publisher, Erewhon, NC, 1999.
8. R. A. Authors and L. Bischof. Seeded region growing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(6):641-647, September 1994.
9. R. C. G. Authors and R. E. Woods. Digital Image Processing. Pearson Prentice Hall, 3 edition, 2008.
10. R. S. Authors, J. Alirezaie, and P. Babyn. Automatic lung segmentation in ct images using watershed transform. In IEEE International Conference on Image Processing, 2005.
11. S. C. Z. Authors and A. Yuille. Region competition: Unifying snakes, region growing and bayes/mdl for multiband image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(9):884-900, September 1996.
12. T. B. S. Authors, H. Tek, J. J. Crisco, and B. B. Kimia. Segmentation of carpal bones from ct images using skeletally coupled deformable models. Medical Image Analysis, 7(1):21-45, March 2003.
13. W. Y. Authors, P. Abolmaesumi, M. Greenspan, and R. E. Ellis. An estimation/correction algorithm for detecting bone edges in ct images. In IEEE Transactions on Medical Imaging, volume 24, pages 997-1010, August 2005.
14. Y.-H. T. Authors and S. Osher. Level set methods in image science. In IEEE International Conference on Image Processing, volume 2, pages II 631-II 634, September 2003.
15. Y. S. Authors and W. C. Karl. A real-time algorithm for the approximation of level-set-based curve evolution. In IEEE Transactions on Image Processing, volume 17, pages 645-656, May 2008.
16. R. A. C. S. T. Center. Ciren program report. Technical report, University of Maryland National Study Center for Trauma and EMS, 2001.
17. U. of Maryland National Study Center for Trauma/EMS. Lower extremity injuries among restrained vehicle occupants. Technical report, University of Maryland National Study Center for Trauma/EMS, 2001.