Statistical deformable bone models for robust 3D surface extrapolation from sparse data

Medical Image Analysis

Volumn 11, Issue 2, 2007, Pages 99-109

  Rajamani, Kumar T ^a   Styner, Martin A ^b   Talib, Haydar ^a   Zheng, Guoyan ^a   Nolte, Lutz P ^a   Ballester, Miguel A González ^a  

^a UNIVERSITY OF BERN   (Switzerland)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

Deformable models; Medical image analysis; Principal component analysis; Shape analysis; Statistical shape models

Indexed keywords

BONE; COMPUTER SIMULATION; CURVE FITTING; ORTHOPEDICS; PRINCIPAL COMPONENT ANALYSIS;

DIGITIZED LANDMARKS; MAHALANOBIS DISTANCE; STATISTICAL SHAPE MODELS;

MEDICAL IMAGING;

ACCURACY; ARTICLE; CADAVER; CLINICAL ARTICLE; COMPUTER ANALYSIS; COMPUTER ASSISTED SURGERY; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; HUMAN; HUMAN TISSUE; IMAGE RECONSTRUCTION; INTRAOPERATIVE PERIOD; ORTHOPEDIC SURGERY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION PROCESS;

ALGORITHMS; BONE AND BONES; CADAVER; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, ANATOMIC; MODELS, STATISTICAL; ULTRASONICS;

EID: 33847418341     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2006.05.001     Document Type: Article

References (30)

1. Aspert, N., Santa-Cruz, D., Ebrahimi, T., 2002. Mesh: Measuring errors between surfaces using the Hausdorff distance. In: Proceedings of the IEEE International Conference on Multimedia and Expo, vol. I, pp. 705-708.
2. Bookstein F.L. Size and shape spaces for landmark data in two dimensions. Statistical Science 1 (1986) 181-242
3. Brechbühler C., Gerig G., and Kübler O. Parametrization of closed surfaces for 3-D shape description. Computer Vision and Image Understanding 61 2 (1995) 154-170
4. Chan, C.S., Edwards, P.J., Hawkes, D.J., 2003. Integration of ultrasound-based registration with statistical shape models for computer-assisted orthopaedic surgery. In: Proceedings of SPIE Medical Imaging, pp. 414-424.
5. Cootes T., Taylor C., Cooper D., and Graham J. Active shape models - their training and application. Computer Vision and Image Understanding 61 1 (1995) 38-59
6. Cootes, T.F., Edwards, G.J., Taylor, C.J., 1998. Active appearance models. In: Proceedings of European Conference on Computer Vision, pp. 484-498.
7. Cootes T.F., Hill A., Taylor C.J., and Haslam J. The use of active shape models for locating structures in medical images. Image and Vision Computing 12 6 (1994) 355-366
8. Davies, R.H., Twining, C.J., Cootes, T.F., Waterton, J.C., Taylor, C.J., 2002a. 3D statistical shape models using direct optimisation of description length. In: Proceedings of European Conference on Computer Vision, pp. 3-20.
9. Davies R.H., Twining C.J., Cootes T.F., Waterton J.C., and Taylor C.J. A minimum description length approach to statistical shape modeling. IEEE Transaction on Medical Imaging 21 5 (2002) 525-537
10. Dryden I., and Mardia K. Statistical Shape Analysis (1998), John Wiley and Sons
11. Fleute, M., Lavallée, S., 1998. Building a complete surface model from sparse data using statistical shape models. In: Lecture Notes in Computer Science, Proceedings of Medical Image Computing and Computer Assisted Interventions, vol. 1496, pp. 879-887.
12. Gong, J., Bächler, R., Sati, M., Nolte, L.-P., 1997. Restricted surface matching: a new approach to registration in computer assisted surgery. In: Proceedings of CVRMed-MRCAS, pp. 597-605.
13. Heitz, G., Rohlfing, T., Maurer, C., 2005. Statistical shape model generation using nonrigid deformation of a template mesh. In: Proceedings of SPIE Medical Imaging, vol. 5747, pp. 1411-1421.
14. Jolliffe I. Principal Component Analysis (1986), Springer
15. Kelemen A., Székely G., and Gerig G. Elastic model-based segmentation of 3D neuroradiological data sets. IEEE Transactions on Medical Imaging 18 October (1999) 828-839
16. Kendall D. A survey of the statistical theory of shape. Statistical Science 4 2 (1989) 87-120
17. Kotcheff A., and Taylor C. Automatic construction of eigenshape models by direct optimization. Medical Image Analysis 2 (1998) 303-314
18. Kowal J., Amstutz C., Caversaccio M., and Nolte L. On the development and comparative evaluation of an ultrasound B-mode probe calibration unit. Computer Aided Surgery (2003)
19. Kowal, J., Amstutz, C., Nolte, L., 2001. On B-mode ultrasound based registration for computer assisted orthopaedic surgery. In: Proceedings of the 6th International Symposium on CAOS.
20. Livyatan H., Yaniv Z., and Joskowicz L. Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT. IEEE Transactions on Medical Imaging 22 11 (2003) 1395-1406
21. Rajamani, K., González Ballester, M., Nolte, L., Styner, M., 2005. A novel and stable approach to anatomical structure morphing for intraoperative 3d visualization. In: Proceedings of SPIE Medical Imaging, vol. 5744, pp. 718-725.
22. Rajamani, K.T., Joshi, S., Styner, M., 2004a. Bone model morphing for enhanced surgical visualization. In: Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 1255-1258.
23. Rajamani, K.T., Nolte, L., Styner, M., 2004b. Bone morphing with statistical shape models for enhanced visualization. In: Proceedings of SPIE Medical Imaging, pp. 122-130.
24. Rajamani, K.T., Nolte, L., Styner, M., 2004c. A novel approach to anatomical structure morphing for intraoperative visualization. In: Proceedings of Medical Image Computing and Computer Aided Interventions, pp. 478-485.
25. Small C. The Statistical Theory of Shape (1996), Springer
26. Stindel E., Briard J., Merloz P., Plaweski S., Dubrana F., Lefevre C., and Troccaz J. Bone morphing: 3D morphological data for total knee arthroplasty. Computer Aided Surgery 7 3 (2002) 156-168
27. Styner M., Brechbühler C., Székely G., and Gerig G. Parametric estimate of intensity inhomogeneities applied to MRI. IEEE Transactions on Medical Imaging 19 3 (2000) 153-165
28. Styner, M.A., Rajamani, K.T., Nolte, L.P., Zsemlye, G., Szekely, G., Taylor, C.J., Davies, R.H., 2003. Evaluation of 3D correspondence methods for model building. In: Proceedings of Information Processing in Medical Imaging, pp. 63-75.
29. Turk M., and Pentland A. Eigenfaces for recognition. Journal of Cognitive Neuroscience 3 1 (1991) 71-86
30. Wang, Y., Bradley, S.P., Staib, L.H., 2000. Shape-based 3D surface correspondence using geodesics and local geometry. In: Proceedings of Computer Vision and Pattern Recognition, pp. 644-651.