A multi-resolution statistical deformable model (MISTO) for soft-tissue organ reconstruction

Pattern Recognition - Tập 42 - Trang 1543-1558 - 2009
Jun Feng1,2, Horace H.S. Ip2,3
1School of Information and Technology, Northwest University, Xi’an, China
2Image Computing Group,Department of Computer Science, City University of Hong Kong, Hong Kong, China
3Centre for Innovative Applications of Internet and Multimedia Technologies (AIMtech), 83 Tat Chee Avenue, Kowloon, Hong Kong SAR, China

Tài liệu tham khảo

Cootes, 1995, Active shape models—their training and applications, Computer Vision and Image Understanding, 61, 38, 10.1006/cviu.1995.1004 A. Hill, A. Thornham, C.J. Taylor, Model-based interpretation of 3-D medical images, in: Fourth British Machine Vision Conference, Guilford, England, September 1993, pp. 339–348. Thalmann, 2000, Construction of a human topological model from medical data, IEEE Transactions on Information Technology in Biomedicine, 4, 137, 10.1109/4233.845206 Cootes, 1995, Combining point distribution models with shape models based on finite element analysis, Image and Vision Computing, 13, 403, 10.1016/0262-8856(95)99727-I Y. Wang, L.H. Staib, Boundary finding with correspondence using statistical shape models, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 23–25 June 1998, pp. 338–345. Chen, 2005, 3D object segmentation using B-surface, Image and Vision Computing, 23, 1237, 10.1016/j.imavis.2005.09.002 Brett, 2000, A method of automated landmark generation for automated 3-D PDM construction, Image and Vision Computing, 18, 739, 10.1016/S0262-8856(99)00077-3 Kelemen, 1999, Three-dimensional model-based segmentation of brain MRI, IEEE Transactions on Medical Imaging, 18, 828, 10.1109/42.811260 D. Rueckert, A.F. Frangi, J.A. Schnabel, Automatic construction of 3D statistical deformation models using non-rigid registration, in: Proceedings of Fourth International Conference on Medical Image Computing and Computer-assisted Intervention, 14–17 October 2001, pp. 77–84. Zhao, 2008, A new scheme for automated 3D PDM construction using deformable models, Image and Vision Computing, 26, 275, 10.1016/j.imavis.2007.06.002 Yang, 2004, 3D image segmentation of deformable objects with joint shape-intensity prior models using level sets, Medical Image Analysis, 8, 285, 10.1016/j.media.2004.06.008 Shen, 2000, An adaptive-focus deformable model using statistical and geometric information, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 906, 10.1109/34.868689 Pardo, 2003, Discriminant snakes for 3D reconstruction of anatomical organs, Medical Image Analysis, 7, 293, 10.1016/S1361-8415(03)00014-8 Yan, 2006, Medical image segmentation using minimal path deformable models with implicit shape priors, IEEE transaction on Information Technology in Biomedicine, 10, 677, 10.1109/TITB.2006.874199 Poon, 1994, Image segmentation by a deformable contour model incorporating region analysis, Physics in Medicine and Biology, 42, 1833, 10.1088/0031-9155/42/9/013 P. Radeva, J. Vitria, Region-based approach for discriminant snakes, in: Proceedings of International Conference on Image Processing, vol. 2, 7–10 October 2001, pp. 801–804. Cootes, 2001, Active appearance models, IEEE Transaction on Pattern Analysis and Machine Intelligence, 23, 681, 10.1109/34.927467 Shen, 2001, An adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures, IEEE Transactions on Medical Imaging, 20, 257, 10.1109/42.921475 Frangi, 2002, Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling, IEEE Transactions on Medical Imaging, 21, 10.1109/TMI.2002.804426 T.F. Cootes, C.J. Taylor, A. Lanitis, Multi-resolution search with active shape models, in: Proceedings of the 12th IAPR International Conference on Pattern Recognition, vol. 1, 9–13 October 1994, pp. 610–612. Cootes, 1999, Comparing active shape models with active appearance models, vol. 1, 173 Kaus, 2003, Automated 3-D PDM construction from segmented images using deformable models, IEEE Transactions on Medical Imaging, 22, 1005, 10.1109/TMI.2003.815864 Rajamani, 2007, Statistical deformable bone models for robust 3D surface extrapolation from sparse data, Medical Image Analysis, 11, 99, 10.1016/j.media.2006.05.001 M. De Brujine, B. van Ginneken, M.A. Vierrgever, W.J. Niessen, Three-dimensional point distribution models for tubular objects, Technical Report of UU-CS (Ext. r. no. 2003-012), Information and Computing Sciences, Utrecht University, Utrecht. J. Feng, H.H.S. Ip, A statistical assembled model for segmentation of entire 3D vasculature, in: International Conference on Pattern Recognition (ICPR 2006), vol. 4, Hong Kong, August 2006, pp. 95–98. H.N. Christiansen, T.W. Sederberg, Conversion of complex contour line definitions into polygonal element mosaics, in: Proceedings of SIGGRAPH’ 78, Computer Graphics, vol. 12, New York, 1978, pp. 187–192. J. Feng, H.H.S. Ip, Iterative 3D point-set registration based on hierarchical vertex signature (HVS), MICCAI 2005, in: Lecture Notes in Computer Science, vol. 3750, pp. 279–286. Gonzalez, 2001 T.F. Cootes, C.J. Taylor, Using grey-level models to improve active shape model search, in: Proceedings of the 12th IAPR International Conference on Pattern Recognition, vol. 1, 9–13 October 1994, pp. 63–67. Kass, 1988, Snakes: active contour models, International Journal of Computer Vision, 1, 321, 10.1007/BF00133570 L. Ma, L. Yang, Liver segmentation based on expectation maximization and morphological filters in CT images, in: The First International Conference on Bioinformatics and Biomedical Engineering, 2007, ICBBE 2007, 6–8 July 2007, pp. 690–693. K. Mala, V. Sadasivam, Automatic segmentation and classification of diffused liver diseases using wavelet based texture analysis and neural network, in: IEEE Indicon 2005 Conference, pp. 216–219. K.-W. Cheung, D.Y. Yeung, R.R. Chin, Competitive mixture of deformable models for pattern classification, in: Proceedings of the IEEE computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, June 1996, pp. 613–618. Xia, 2001, Three-dimensional virtual-reality surgical planning and soft-tissue prediction for orthognathic surgery, IEEE Transactions of Information Technology in Biomedicine, 5, 97, 10.1109/4233.924800 Claes, 2006, Craniofacial reconstruction using a combined statistical model of face shape and soft tissue depths: methodology and validation, Forensic Science International, 159S, 147, 10.1016/j.forsciint.2006.02.035 Berar, 2006, 3D semi-landmarks-based statistical face reconstruction, Journal of Computing and Information Technology, 14, 31, 10.2498/cit.2006.01.04