Shape discrimination in the hippocampus using an MDL model

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

Volumn 2732, Issue , 2003, Pages 38-50

  Davies, Rhodri H ^b,c   Twining, Carole J ^a   Allen, P Daniel ^a   Cootes, Tim F ^a   Taylor, Chris J ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b Centre for Neuroscience   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; MAGNETIC RESONANCE IMAGING;

LINEAR DISCRIMINANT ANALYSIS; MINIMUM DESCRIPTION LENGTH CRITERIA; MODEL QUALITIES; NORMAL CONTROLS; SHAPE DISCRIMINATION; SHAPE PARAMETERS; SHAPE VARIATIONS; STATISTICAL SHAPE MODEL;

MEDICAL IMAGING;

EID: 34547132219     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45087-0_4     Document Type: Article

References (30)

1. A. Baumberg and D. Hogg. Learning flexible models from image sequences. In European conference on Computer Vision (ECCV) 1994.
2. A. Baumberg and D. Hogg. An adaptive eigenshape model. In British Machine Vision Conference (BMVC) 1995.
3. C. Brechbühler, G. Gerig, and O. Kübler. Parameterisation of closed surfaces for 3-D shape description. Computer Vision, Graphics and Image Processing, 61:154-170, 1995.
4. A. Brett and C. Taylor. Construction of 3d shape models of femoral articular cartilage using harmonic maps. In Medical Image Computing and Computer Assisted Intervention (MICCAI) 2000.
5. A. D. Brett, A. Hill, and C. J. Taylor. A method of 3D surface correspondence and interpolation for merging shape examples. Image and Vision Computing (IVC), 17:635-642, 1999.
6. A. D. Brett, A. Hill, and C. J. Taylor. A method of automatic landmark generation for automated 3d pdm construction. IVC, 18:739-748, 2000.
7. G. E. Christensen, S. C. Joshi, and M. Miller. Volumetric transformation of brain anatomy. IEEE TMI, 16:864-877, 1997.
8. D. L. Collins, C. J. Holmes, T. M. Peters, and A. C. Evans. Automatic 3d model-based neuroanatomical segmentation. Human Brain Mapping, 3:190-208, 1995.
9. T. F. Cootes, A. Hill, C. J. Taylor, and J. Haslam. The use of active shape models for locating structures in medical images. IVC, 12(6):276-285, July 1994.
10. Rh. H. Davies. Learning Shape : Optimal Models of Natural Variability. PhD thesis, University of Manchester, UK, 2002. www.isbe.man.ac.uk/theses/rhodridavies2002.pdf
11. Rh. H. Davies, T. F. Cootes, and C. J. Taylor. A minimum description length approach to statistical shape modelling. In Information Processing in Medical Imaging(IPMI) 2001
12. Rh. H. Davies, T. F. Cootes, C. J. Twining, and C. J. Taylor. An information theoretic approach to statistical shape modelling. In BMVC 2001
13. Rh. H. Davies, T. F. Cootes, J. C. Waterton, and C. J. Taylor. An efficient method for constructing optimal statistical shape models. In MICCAI 2001
14. Rh. H. Davies, C. J. Twining, T. F. Cootes, J. C. Waterton, and C. J. Taylor. 3d statistical shape models using direct optimisation of description length. In ECCV 2002
15. Rh. H. Davies, C. J. Twining, T. F. Cootes, J. C. Waterton, and C. J. Taylor. A minimum description length approach to statistical shape modelling. IEEE TMI, 21(5):525-537, May 2002.
16. B. Efron, editor. The Jacknife, the bootstrap and other re-sampling plans. SIAM, 1982.
17. A. F. Frangi, D. Rueckert, J. A. Schnabel, and W. J. Niessen. Automatic 3d asm construction via atlas-based landmarking and volumetric elastic registration. In IPMI 2001
18. G. Gerig, M. Styner, D. Jones, D. Weinberger, and J. Lieberman. Shape analysis of brain ventricles using spharm. In Mathematical Methods in Biomedical Image analysis (MMBIA) 2001
19. G. Gerig, M. Styner, M. Shenton, and J. Liberman. Shape vs. size: Improved understanding of the morphology of brain structures. In MICCAI 2001
20. A. Hill and C. J. Taylor. Automatic landmark generation for point distribution models. In BMVC 94
21. A. Kelemen, G. Szekely, and G. Gerig. Elastic model-based segmentation of 3D neurological data sets. IEEE TMI, 18(10):828-839, 1999.
22. A. C. W. Kotcheff and C. J. Taylor. Automatic construction of eigenshape models by direct optimisation. Medical Image Analysis, 2(4):303-314, 1998.
23. D. Meier and E. Fisher. Parameter space warping: Shape-based correspondence between morphologically different objects. IEEE TMI, 21:31-47, 2002.
24. W. Press, S. Teukolsky, W. Vetterling, and B. Flannery. Numerical Recipes in C (2nd Edition). Cambridge University Press, 1992.
25. A. Rangagajan, H. Chui, and F. L. Bookstein. The softassign procrustes matching algorithm. In IPMI 1997
26. J. R. Rissanen. Stochastic Complexity in statistical inquiry. World Scientific, 1989.
27. D. Rueckert, A. F. Frangi, and J. A. Schnabel. Automatic construction of 3d statistical deformation models using non-rigid registration. In MICCAI 2001
28. G. Szekely, A. Kelemen, C. Brechbuhler, and G. Gerig. Segmentation of 2-d and 3-d objects from mri volume data using constrained elastic deformations of flexible fourier contour and surface models. Medical Image Analysis, 1:19-34, 1996.
29. Y. Wang, B. S. Peterson, and L. H. Staib. Shape-based 3d surface correspondence using geodesies and local geometry. In Computer Vision and Pattern Recognition 2000
30. A. Webb. Statistical pattern recognition. Arnold, 1999.