Automatic extraction of proximal femur contours from calibrated X-ray images using 3D statistical models

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

Volumn 5128 LNCS, Issue , 2008, Pages 421-429

  Dong, Xiao ^a   Zheng, Guoyan ^a  

^a UNIVERSITY OF BERN   (Switzerland)

Author keywords

Bayesian network; Fluoroscopy; Segmentation; Statistical models

Indexed keywords

AUTOMATION; BAYESIAN NETWORKS; BONE; ELECTRONIC DATA INTERCHANGE; EXTRACTIVE METALLURGY; GRAPHIC METHODS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGING TECHNIQUES; INFERENCE ENGINES; MEDICAL IMAGING; REAL TIME SYSTEMS; SPEECH RECOGNITION; STATISTICAL METHODS; VIRTUAL REALITY; X RAY ANALYSIS; X RAY APPARATUS; X RAYS;

2-D/3-D REGISTRATION; AUGMENTED REALITY; AUTOMATIC EXTRACTION; AUTOMATIC IDENTIFICATION; BAYESIAN; BAYESIAN INFERENCES; BAYESIAN NETWORK; CONTOUR EXTRACTION; FLUOROSCOPY; GEOMETRICAL MODELLING; GRAPHICAL MODELLING; MEDICAL IMAGE ANALYSIS; MULTIPLE COMPONENTS; NETWORK ALGORITHMS; PROXIMAL FEMUR; SEGMENTATION; STATISTICAL MODELLING; STATISTICAL MODELS; X-RAY DATA; X-RAY IMAGING;

THREE DIMENSIONAL;

EID: 50249107918     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-79982-5_46     Document Type: Conference Paper

References (23)

1. Chen, Y., et al.: Automatic Extraction of Femur Contours from Hip X-ray Images. In: Liu, Y., Jiang, T., Zhang, C. (eds.) CVBIA 2005. LNCS, vol. 3765, pp. 200-209. Springer, Heidelberg (2005)
2. de Luis-Garcia, R., et al.: A Fully Automatic Algorithm for Contour Detection of Bones in Hand Radiographs Using Active Contours. In: ICIP 2003, Part. III, pp. 421-424 (2003)
3. Roberts, M.G., et al.: Automatic segmentation of lumbar vertebrae on digitised radiographs using linked active appearance models. In: MIUA 2006, Part. I, pp. 120-124 (2006)
4. Gottschling, H., et al.: Intraoperative, Fluoroscopy-based Planning for Complex Osteotomies of the Proximal Femur. The International Journal of Medical Robotics & Computer Assisted Srugery 1(3), 67-73 (2005)
5. Bartolini, F., et al.: Model-based Extraction of Femoral Medulla Ducts from Radiographic Images. Image and Vision Computing 22, 173-182 (2004)
6. Tian, T.P., et al.: Computing Neck-Shaft Angle of Femur for X-ray Fracture Detection. In: Petkov, N., Westenberg, M.A. (eds.) CAIP 2003. LNCS, vol. 2756, pp. 82-89. Springer, Heidelberg (2003)
7. Benameur, S., et al.: 3D/2D Registration and Segmentation of Scoliotic Vertebrae Using Statistical Models. Computerized Medical Imaging and Graphics 27(5), 321-337 (2003)
8. Zheng, G., Nolte, L.-P.: Surface Reconstruction of Bone from X-ray Images and Point Distribution Model Incorporating a Novel Method for 2D-3D Correspondence. In: CVPR 2006, Part II, pp. 2237-2244 (2006)
9. Lamecker, H., et al.: Atlas-based 3D-Shape Reconstruction from X-ray Images. In: ICPR 2006, Part I, pp. 371-374 (2006)
10. Tang, T.S., Ellis, R.E.: 2D/3D Deformable Registration Using a Hybrid Atlas. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005, Part II. LNCS, vol. 3750, pp. 223-230. Springer, Heidelberg (2005)
11. Behiels, G., et al.: Active Shape Model-based Segmentation of Digital X-ray Images. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 128-137. Springer, Heidelberg (1999)
12. Howe, B., et al.: Hierarchical Segmentation of Cervical and Lumbar Vertebrae Using a Customised Generalized Hough Transform and Extensions to Active Appearance Models. In: Proc. IEEE 6th SSIAI, March 2004, pp. 182-186 (2004)
13. Langs, G., et al.: Determining Position and Fine Shape Detail in Radiological Anatomy. In: Michaelis, B., Krell, G. (eds.) DAGM 2003. LNCS, vol. 2781, pp. 532-539. Springer, Heidelberg (2003)
14. Seise, M., et al.: Probabilistic Segmentation of the Knee Joint from X-ray Images. In: MIUA 2006, pp. 110-114 (2006)
15. de Bruijne, M., Nielsen, M.: Image Segmentation by Shape Particle Filtering. In: ICPR 2004, Part. III (2004)
16. Zheng, G., et al.: Use of a Dense Surface Point Distribution Model in a Three-Stage Anatomical Shape Reconstruction from Sparse Information for Computer Assisted Orthopaedic Surgery: A Preliminary Study. In: Narayanan, P.J., Nayar, S.K., Shum, H.-Y. (eds.) ACCV 2006, Part II. LNCS, vol. 3852, pp. 52-60. Springer, Heidelberg (2006)
17. Ma, B., Ellis, R.E.: Surface-based Registration with a Particle Filter. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004, Part I. LNCS, vol. 3216, pp. 566-573. Springer, Heidelberg (2004)
18. Lee, M.W., Cohen, I.: Human Upper Body Pose Estimation in Static Images. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004, Part II. LNCS, vol. 3022, pp. 126-138. Springer, Heidelberg (2004)
19. Sigal, L., et al.: Tracking loose-limbed people. In: CVPR 2004, Part. 1, pp. 421-428 (2004)
20. Wu, Y., et al.: Tracking articulated body by dynamic Markov network. In: ICCV 2003, vol. 1, pp. 1094-1101 (2003)
21. Coughlan, J., Ferreira, S.: Finding deformable shapes using loopy belief propagation. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 453-468. Springer, Heidelberg (2002)
22. Rangarajan, A., et al.: A Bayesian Network Framework for Relational Shape Matching. In: ICCV 2003, pp. 671-678 (2003)
23. Dong, X., Zheng, G.: Fully Automatic Determination of Morphological Parameters of Proximal Femur from Calibrated Fluoroscopic Images Through Particle Filtering. In: Campilho, A., Kamel, M. (eds.) ICIAR 2006. LNCS, vol. 4142, pp. 535-546. Springer, Heidelberg (2006)