A statistical multi-vertebrae shape+pose model for segmentation of CT images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8671, Issue , 2013, Pages

  Rasoulian, Abtin ^a   Rohling, Robert N ^a   Abolmaesumi, Purang ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

CT; Multi vertebrae anatomical model; Registration; Segmentation; Spinal intervention

Indexed keywords

ANATOMICAL MODELS; CT; IMAGE-GUIDED INTERVENTION; PRE-PROCESSING STEP; REGISTRATION; SPINAL INTERVENTION; STANDARD DEVIATION; STATISTICAL CHARACTERISTICS;

COMPUTERIZED TOMOGRAPHY; MEDICAL IMAGING; MUSCULOSKELETAL SYSTEM; ROBOTICS;

IMAGE SEGMENTATION;

EID: 84878603191     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2007448     Document Type: Conference Paper

References (20)

1. Moore, J., Clarke, C., Bainbridge, D., Wedlake, C., Wiles, A., Pace, D., and Peters, T., "Image guidance for spinal facet injections using tracked ultrasound," in [Medical Image Computing and Computer-Assisted Intervention - MICCAI], 5761, 516-523 (2009).
2. Tran, D., Kamani, A., Al-Attas, E., Lessoway, V., Massey, S., and Rohling, R. N., "Single-operator real-time ultrasound-guidance to aim and insert a lumbar epidural needle," Canadian Journal of Anesthesia 57(4), 313-321 (2010).
3. Klinder, T., Ostermann, J., Ehm, M., Franz, A., Kneser, R., and Lorenz, C., "Automated model-based vertebra detection, identification, and segmentation in CT images," Medical Image Analysis 13(3), 471-482 (2009).
4. Burnett, S. S. C., Starkschall, G., Stevens, C. W., and Liao, Z., "A deformable-model approach to semi-automatic segmentation of CT images demonstrated by application to the spinal canal," Medical Physics 31(2), 251-263 (2004).
5. Mastmeyer, A., Engelke, K., Fuchs, C., and Kalender, W. A., "A hierarchical 3D segmentation method and the definition of vertebral body coordinate systems for QCT of the lumbar spine," Medical Image Analysis 10(4), 560-577 (2006).
6. Schmidt, S., Kappes, J., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnoerr, C., "Spine detection and labeling using a parts-based graphical model," in [ Information Processing in Medical Imaging - IPMI], 4584, 122-133 (2007).
7. Shen, H., Litvin, A., and Alvino, C., "Localized priors for the precise segmentation of individual vertebras from CT volume data," in [Medical Image Computing and Computer-Assisted Intervention - MICCAI], 5241, 367-375 (2008).
8. Vrtovec, T., Likar, B., and Pernus, F., "Automated curved planar reformation of 3D spine images," Physics in Medicine and Biology 50, 4527-4540 (2005).
9. Ma, J., Lu, L., Zhan, Y., Zhou, X., Salganicoff, M., and Krishnan, A., "Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model," in [Medical Image Computing and Computer-Assisted Intervention MICCAI ], 6361, 19-27 (2010).
10. Bossa, M. and Olmos, S., "Multi-object statistical pose+shape models," in [IEEE International Symposium on Biomedical Imaging - ISBI ], 1204-1207 (2007).
11. Duta, N. and Sonka, M., "Segmentation and interpretation of MR brain images. an improved active shape model," IEEE Transactions on Medical Imaging 17(6), 1049-1062 (1998).
12. Wang, H., Stout, D., and Chatziioannou, A., "Estimation of mouse organ locations through registration of a statistical mouse atlas with Micro-CT images," IEEE Transactions on Medical Imaging 31(1), 88-102 (2012).
13. Tsai, A., Wells, W., Tempany, C., Grimson, E., and Willsky, A., "Coupled multi-shape model and mutual information for medical image segmentation," in [Information Processing in Medical Imaging - IPMI ], 2732, 185-197 (2003).
14. Cerrolaza, J., Villanueva, A., and Cabeza, R., "Hierarchical statistical shape models of multiobject anatomical structures: Application to brain MRI," IEEE Transactions on Medical Imaging 31(3), 713-724 (2012).
15. Lu, C., Pizer, S. M., Joshi, S., and Jeong, J., "Statistical multi-object shape models," International Journal of Computer Vision 75(3), 387-404 (2007).
16. Rasoulian, A., Rohling, R., and Abolmaesumi, P., "Group-wise registration of point sets for statistical shape models," IEEE Transactions on Medical Imaging 31(11), 2025-2034 (2012).
17. Fletcher, P., Lu, C., and Joshi, S., "Statistics of shape via principal geodesic analysis on lie groups," in [IEEE Computer Society Conference on Computer Vision and Pattern Recognition], 1, 95-101 (2003).
18. Pennec, X., "Intrinsic statistics on riemannian manifolds: Basic tools for geometric measurements," Journal of Mathematical Imaging and Vision 25(1), 127-154 (2006).
19. Dryden, I. and Mardia, K., [Statistical shape analysis], vol. 4, John Wiley & Sons New York (1998).
20. Yushkevicha, P. A., Pivenc, J., Hazlettc, H. C., Smithc, R. G., Hob, S., Geea, J. C., and Gerig, G., "User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability," Neuroimage 31(3), 1116-1128 (2006).