Object models in multiscale intrinsic coordinates via m-reps

Image and Vision Computing

Volumn 21, Issue 1, 2003, Pages 5-15

  Pizer, Stephen M ^a   Fletcher, P Thomas ^a   Thall, Andrew ^a   Styner, Martin ^a   Gerig, Guido ^a   Joshi, Sarang ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Figural coordinate system; Intrinsic coordinates; M rep

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; MATHEMATICAL MODELS; THREE DIMENSIONAL COMPUTER GRAPHICS; VISUALIZATION;

INTRINSIC COORDINATED;

IMAGE SEGMENTATION;

EID: 0037428072     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(02)00130-0     Document Type: Article

References (32)

1. S.M. Pizer, J.Z. Chen, P.T. Fletcher, Y. Fridman, D. Fritsch, A.G. Gash, J. Glotzer. M.R. Jiroutek, S. Joshi, C. Lu, K.E. Muller, A. Thall, G. Tracton, P. Yushkevich, E.L. Chaney, Deformable m-reps for 3D medical image segmentation, submitted at website http://midag.cs.unc.edu/pubs/papers/IJCV01-Pizer-mreps.pdf., 2002.
2. Fletcher P.T., Pizer S.M., Gash A.G., Joshi S. Deformable m-rep segmentation of object complexes. Proceedings of the IEEE International Symposium on Biomedical Imaging. 2002.
3. Yushkevich P., Pizer S.M., Joshi S., Marron J.S. Intuitive, localized analysis of shape variability. Proceedings of the IPMI. 2082:2001;402-408.
4. Blum H., Nagel R.N. Shape description using weighted symmetric axis features. Pattern Recognition. 10:1978;167-180.
5. 2 interpolating subdivision surfaces using iterative inversion of stationary subdivision rules, University of North Carolina Computer Science Department technical report TR02-001, 2002.
6. J.R. Crouch, S.M. Pizer, E.L. Chaney, M. Zaider, Elastic registration of prostate images using the finite element method with m-rep models, Poster, Second International Conference, On Innovative Solutions for Prostate Cancer Care, Also at website www.cs.unc.edu/Research/Image/MIDAG/pubs/presentations/prostate-mrep-Crouch2001_ files/frame.htm, 2001.
7. L.A. Willis, Geometric description of lung shape during respiration via m-reps and normalized mutual information, MS thesis, Department of Biomedical Engineering, UNC in preparation, 2001.
8. Styner M., Gerig G. Medical models incorporating object variability for 3D shape analysis. Proceedings of the IPMI. 2082:2001;502-516.
9. J. Damon, Smoothness and geometry of boundaries associated to skeletal structures, Internal report, Department of Mathematics, University of NC, 2002.
10. Styner M., Gerig G. Three-dimensional medial shape representation incorporating object variability. Proceedings of Computer Vision and Pattern Recognition (CVPR 2001), IEEE Computer Society. 2001;651-656.
11. Brechbuehler C., Gerig G., Kuebler O. Parametrization of closed surfaces for 3D shape description. Computer Vision and Image Understanding. 61:(2):1995;154-170.
12. Székely G., Kelemen A., Brechbühler C., Gerig G. Segmentation of 2D and 3D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models. Medical Image Analysis. 1:(1):1996;19-34.
13. Kelemen A., Szekely G., Gerig G. Elastic model-based segmentation of 3D neuroradiological data sets. IEEE Transactions on Medical Imaging. 18:1999;828-839.
14. Cootes T.F., Taylor C.J., Cooper D.H., Graham J. Active shape models-their training and application. Computer Vision and Image Understanding. 61:(1):1995;31-59.
15. Naef M., Kuebler O., Kikinis R., Shenton M., Szekely G. Characterization and recognition of 2D organ shape in medical image analysis using skeletonization. Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 1996). 1996;139-150.
16. Styner M., Gerig G., Pizer S.M., Joshi S. Automatic and robust computation of 3D medial models incorporating object variability. IJCV. 2002;. in press.
17. Gerig G., Styner M., Jones D., Weinberger D., Lieberman J.A. Shape analysis of brain ventricles using SPHARM. Proceedings of the Mathematical Methods in Biomedical Image Analysis (MMBIA 2001), IEEE Computer Society. 2001;171-178.
18. Shenton M.E., Gerig G., Mc Carley R.W., Szekely G., Kikinis R. Amygdala-hippocampus shape differences in schizophrenia: the application of 3D shape models to volumetric MR data. Psychiatry Research Neuroimaging. 115:2002;15-35.
19. Gerig G., Styner M., Shenton M.E., Lieberman J.A. Shape versus size: Improved understading of the morphology of brain structures, Proceedings of MICCAI 2001, LNCS. Proceedings of MICCAI 2001, LNCS. 2208:2001;Springer, Berlin. pp. 24-32.
20. Csernansky J., Joshi S., Wang L., Haller J., Gado M., Miller J., Grenander U., Miller M. Hippocampal morphometry in schizophrenia via high dimensional brain mapping. Proceedings of the National Academy of Science, USA. 95:1998;11406-11411.
21. Dryden I.L., Mardia K.V. Statistical Shape Analysis. 1998;Wiley, Chichester.
22. Luo B., Hancock E.R. Matching point-sets using Procrustes alignment and the EM algorithm. Proceedings of the British Machine Vision Conference. 1999;43-52.
23. Yuille A. Deformable templates for face recognition. Journal of Cognitive Neuroscience. 3:(1):1991.
24. Christensen G.E., Joshi S.C., Miller M.I. Volumetric transformation of brain anatomy. IEEE Transactions on Medical Imaging. 16:(6):1997;864-877.
25. Joshi S., Miller M.I. Landmark matching via large deformation diffeomorphisms. IEEE Transactions on Image Processing. 9:(8):2000;1357-1370.
26. Grenander U., Miller M.I. Computational anatomy: an emerging discipline. Quarterly of Applied Mathematics. 56:1998;617-694.
27. Wang Y., Staib L.H. Boundary finding with correspondence using statistical shape models. Proceedings Conference in Computer Vision and Pattern Recognition. 1998;338-345.
28. Pentland A., Sclaroff S. Closed-form solutions for physically based shape modeling and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 13:1991;715-729.
29. Martin J., Pentland A., Sclaroff S., Kikinis R. Characterization of neuropathological shape deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20:1998;97-112.
30. Delingette H. General object reconstruction based on simplex meshes. International Journal of Computer Vision. 32:1999;111-146.
31. Cootes T., Taylor A. Unified framework for atlas matching using active appearance models. IPMI 1999. 1613:1999;322-333.
32. Joshi S., Pizer S.M., Fletcher P.T., Thall A., Tracton G. Multi-scale 3D deformable model segmentation based on medial description. Proceedings of IPMI 2001. 2082:2001;64-77.