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АНАЛИЗ ФОРМЫ ТРЕХМЕРНЫХ ОРИЕНТАЦИОННЫХ ГИСТОГРАММ ТОМОГРАФИЧЕСКИХ ИЗОБРАЖЕНИЙ СТРУКТУР ГОЛОВНОГО МОЗГА

Аннотация

Рассматриваются различные методы описания, сравнительного анализа и классификации формы трехмерных ориентационных гистограмм, используемых для характеризации анизотропных свойств томографических изображений белого вещества головного мозга. Ориентационные гистограммы представляют собой подкласс трехмерных объектов, характеризующийся регулярным и заранее фиксированным разбиением их поверхностей.

Об авторах

В. А. Ковалев
Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford
Великобритания


Э. В. Снежко
Объединенный институт проблем информатики НАН Беларуси
Беларусь


Ф. Круггель
Department of Biomedical Engineering, University of California, Irvine
Соединённые Штаты Америки


Список литературы

1. Kendall, D. The diffusion of shape / D.G. Kendall // Advances of Applied Probability. – Vol. 9. – 1977. – P. 428–430.

2. Kovalev, V. Texture anisotropy in 3D images / V. Kovalev, M. Petrou, Y. Bondar // IEEE Transactions on Image Processing. – Vol. 8, № 3. – 1999. – P. 346–360.

3. Kovalev, V. Texture analysis in three dimensions as a cue to medical diagnosis / V. Kovalev, M. Petrou; ed. by I. Bankman // Handbook of medical imaging: processing and analysis. – San Diego: Academic Press, 2000. – P. 231–247.

4. A search engine for 3D models / T. Funkhouser [et al.] // ACM Transactions on Graphics. – Vol. 22, № 1. – 2003. – P. 83–105.

5. Kazhdan, M. Rotation invariant spherical harmonic representation of 3D shape descriptors / M. Kazhdan, T. Funkhouser and S. Rusinkiewicz // Proc. of the Symposium on Geometry Proces- sing. – Aachen, Germany, 2003. – P. 156–164.

6. Coarse filters for shape matching / J. Corney [et al.] // IEEE Computer Graphics and Applications. – Vol. 22, № 3. – 2003. – P. 65–74.

7. Zhang, C. Efficient feature extraction for 2D/3D objects in mesh representation / C. Zhang, T. Chen // Proc. of IEEE International Conference on Image Processing. – Vol. 3. – Greece, 2001. – P. 935–938.

8. A reflective symmetry descriptor for 3D models / M. Kazhdan [et al.] // Algorithmica. – Vol. 38, № 1. – 2003. – P. 201–225.

9. Brechbühler, C. Parametrization of closed surfaces for 3D shape description / C. Bre-chbühler, G. Gerig, O. Kübler // Computer Vision, Graphics, Image Processing: Image Understan-ding. – Vol. 61. – 1995. – P. 154–170.

10. Skeleton-based shape matching and retrieval / H. Sundar [et al.] // Proc. of Shape Modeling International. – Seoul, Korea, 2003. – P. 130–142.

11. High contrast and fast three-dimensional magnetic resonance imaging at high fields / J.H. Lee // Magnetic Resonance in Medicine. – 1995. – Vol. 34. – P. 308–312.

12. Thevenaz, P. Image interpolation and resampling / P. Thevenaz, T. Blu, M. Unser; ed. by I. Bankman // Handbook of medical imaging: processing and analysis. – San Diego: Aca-demic Press, 2000. – P. 393–420.

13. Kruggel, F. Alignment of magnetic-resonance brain datasets with the stereotactical coordinate system / F. Kruggel, D. von Cramon // Medical Image Analysis. – Vol. 3, №. 2. – 1999. – P. 175–185.

14. Zucker, S.W. A 3D edge operator / S.W. Zucker, R.A. Hummel // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 1981. – Vol. 3. – P. 324–331.

15. Dryden, I. Statistical Shape Analysis / I. Dryden, K. Mardia. – New York: John Wiley & Sons Ltd, 1998. – 376 p.

16. Cootes, T. Statistical models of appearance for medical image analysis and computer vision / T. Cootes, C. Taylor // Medical Imaging 2001: Image Processing. – Vol. 4322, № 1. – 2001. – P. 236–248.

17. Reyment, R. Multivariate Morphometrics / R. Reyment, R. Blackith, N. Campbell. – New York: Academic Press, 1984. – 233 p.

18. Jolicouer, P. Size and shape variation in the painted turtle. A principal components analysis / P. Jolicouer, J.E. Mosimann // Growth. – 1960. – Vol. 24. – P. 339–354.

19. Hopkins, J. Some considerations in multivariate allometry / J. Hopkins // Biometrics. – 1966. – Vol. 22. – P. 747–760.

20. Sprent, P. The mathematics of size and shape / P. Sprent // Biometrics. – Vol. 28, № 1. – 1972. – P. 23–37.

21. Mosimann, J.E. Size allometry: size and shape variables with characterization of the lognormal and gamma distributions / J.E. Mosimann // Journal of American Statistical Association. – 1970. – Vol. 65. – P. 930–948.

22. Bookstein, F. The morphometric synthesis: a brief intellectual history / F. Bookstein; ed. by S. Levin // Lecture Notes in Biomathematics. – New York: Springer, 1992. – Vol. 100.

23. Kendall, D. A survey of the statistical theory of shape / D. Kendall // Statistical Science. – 1989. – Vol. 4. – P. 87–120.

24. Classification and regression trees / L. Breiman [et al.] – New York: Chapman & Hall, 1984. – 368 p.

25. Therneau, T. Rpart recursive partitioning in R, package version 3.1-22 / T. Therneau, B. Atkinson: R port by B. Ripley. – Rochester: Mayo Clinic, 2005. – 28 p.

26. Cortes, C. Support-vector network / C. Cortes, V. Vapnik // Machine Learning. – Vol. 20, № 3. – 1995. – P. 273–297.

27. Bennett, K. Support vector machines: Hype or Hallelujah? / K. Bennett, C. Campbell // ACM Special Interest Group on Knowledge Discovery and Data Mining, Explorations. – Vol. 2, № 2. – 2000. – P. 1–13.

28. E1071: Miscellaneous functions of the department of statistics, R package version 1.5-7 / E. Dimitriadou [et al.]. – The Vienna University of Technology, 2005. – 58 p.

29. Breiman, L. Random Forests / L. Breiman // Machine Learning. – Vol. 45, №. 1. – 2001. – P. 5–32.

30. Jolliffe, I.T. Principal Component Analysis / I.T. Jolliffe. – New York: Springer, 2002. – 518 p.

31. Venables, W.N. Modern Applied Statistics with S / W.N. Venables, B.D. Ripley. – New York: Springer-Verlag, 2002. – 495 p.

32. Bookstein, F.L. Biometrics, biomechanics and the morphometric synthesis / F.L. Bookstein // Bulletin of Mathematical Biology. – 1996. – Vol. 58. – P. 313–365.


Рецензия

Для цитирования:


Ковалев В.А., Снежко Э.В., Круггель Ф. АНАЛИЗ ФОРМЫ ТРЕХМЕРНЫХ ОРИЕНТАЦИОННЫХ ГИСТОГРАММ ТОМОГРАФИЧЕСКИХ ИЗОБРАЖЕНИЙ СТРУКТУР ГОЛОВНОГО МОЗГА. Информатика. 2006;(4(12)):50-60.

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ISSN 1816-0301 (Print)
ISSN 2617-6963 (Online)