Statistical shape analysis using fixed topology skeletons: Corpus callosum study

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

Volumn 1613, Issue , 1999, Pages 382-387

  Golland, Polina ^a   Grimson, W Eric L ^a   Kikinis, Ron ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; MUSCULOSKELETAL SYSTEM;

ANATOMICAL STRUCTURES; CLASSIFICATION RESULTS; CROSS-VALIDATION TECHNIQUE; FISHER LINEAR DISCRIMINANTS; LINEAR DISCRIMINANT ANALYSIS; SHAPE REPRESENTATION; STATISTICAL PROPERTIES; STATISTICAL SHAPE ANALYSIS;

MEDICAL IMAGING;

EID: 84947430002     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48714-x_33     Document Type: Conference Paper

References (10)

1. Blum, H.: Biological shape and visual science. Journal of Theoretical Biology 38 (1973) 205-287
2. Bookstein, F.L.: Landmark methods for forms without landmarks: morphometrics of group differences in outline shape, Medical Image Analysis 1 (1996) 225-243
3. Cootes, T.F., and Taylor, C.J. Active Shape Models - ' Smart Snakes', In Proc. British Machine Vision Conference, Springer-Verlag (1992) 266-275
4. Csernansky, J.G. et al, Hippocampal morphometry in schizophrenia by high dimensional brain mapping. Proc. Nat. Acad. of Science 95 (1998) 11406-11411
5. Duda, R.O. and Hart, P.E.: Pattern Classification and Scene Analysis, John Wiley & Sons, 1973
6. Fritsch, D.S. et al, Stimulated Cores and their Applications in Medical Imaging. In Proc. IPMI'95 (1995) 365-368
7. Golland, P., and Grimson, W.E.L.: Fixed topology skeletons, AI Lab Memo, Massachusetts Institute of Technology, Submitted to ICCV'99, 1999
8. Martin, J., Pentland, A., and Kikinis, R.: Shape Analysis of Brain Structures Using Physical and Experimental Models, In Proc. CVPR'94 (1994) 752-755
9. Szekely, G. et al, 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 (1996) 19-34
10. Vapnik, V.N.: Statistical Learning Theory, John Wiley & Sons, 1998