Texture-based approaches for identifying neuro-anatomical structures and electrode tracks

Computer Methods and Programs in Biomedicine

Volumn 74, Issue 3, 2004, Pages 221-233

  Xiang, Yongqing ^a   Büttner Ennever, Jean ^b   Cohen, Bernard ^c   Raphan, Theodore ^a  

^a CITY UNIVERSITY OF NEW YORK   (United States)

^b UNIVERSITY OF MUNICH   (Germany)

^c MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

Gabor wavelets; Neuro anatomical structures; Texture analysis

Indexed keywords

BIOMEDICAL ENGINEERING; BRAIN; COMPUTATIONAL METHODS; COMPUTER PROGRAM LISTINGS; TEXTURES; WAVELET TRANSFORMS;

ELEMENTAL STRUCTURES; NEURO-ANATOMICAL STRUCTURES; STAINED IMAGES; TEXTURE FEATURE;

NEUROLOGY;

ARTICLE; BRAIN STEM; CELL NUCLEUS; CELL SHAPE; CELL SIZE; ELECTRODE; ELEMENTARY PARTICLE; ENERGY; GLIOSIS; MATHEMATICAL ANALYSIS; METHODOLOGY; NERVE TRACT; VESTIBULAR NUCLEUS;

ALGORITHMS; ELECTRODES; GLIOSIS; HUMANS;

EID: 2342597049     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2003.08.005     Document Type: Article

References (35)

1. Langer T., Kaneko C.R.S., Scudder C.A., Fuchs A.F. Afferents to the abducens nucleus in the monkey and cat. J. Comparative Neurol. 245:1986;379-400
2. J.A. Büttner-Ennever, N.M. Gerrits, Vestibular System, in: G. Paxinos, J.K. Mai (Eds.), The Human Nervous System, Academic Press, San Diego, 2003, pp. 1212-1240.
3. Büttner-Ennever J.A. Patterns of connectivity in the vestibular nuclei. N. Y. Acad. Sci. 656:1992;363-378
4. J.A. Büttner-Ennever, A.K.E. Horn, Reticular formation - eye movements, gaze and blinks, in: G. Paxinos, J.K. Mai (Eds.), The Human Nervous System, Academic Press, San Diego, 2003, pp. 479-510.
5. B. Cohen, The vestibulo-ocular reflex arc, in: H.H. Kornhuber (Ed.), Handbook of Sensory Physiology, Vestibular System, Basic Mechanisms, vol. VI, Part 1, Springer, Berlin, 1974, pp. 477-540.
6. Yokota J.I., Reisine H., Cohen B. Stimulation of the vestibular nuclei and the nucleus prepositus hypoglossi. Soc. Neurosci. Abstr. 17:1991;314
7. Reisine H., Raphan T. Neural basis for eye velocity generation in the vestibular nuclei during off-vertical axis rotation. Exp. Brain Res. 92:1992;209-226
8. Fuchs A.F., Kimm J. Unit activity in the vestibular nucleus of the alert monkey during horizontal angular acceleration and eye movement. J. Neurophysiol. 38:1975;1140-1161
9. Xiang Y., Büttner-Ennever J.A., Raphan T. Multiresolution approaches to identification and quantification of anatomical structures. Soc. Neurosci. Abstr. 24:1998;161
10. H. Schulerud, J.M. Carstensen, Multiresolution texture analysis of four classes of mice liver cells using different cell cluster representations, in: Proceedings of 9th Scandinavian Conference on Image Analysis, Uppsala, Sweden, 1995.
11. P. Bamford, B. Lovell, Improving the robustness of cell nucleus segmentation, in: Proceedings of the Nineth British Machine Vision Conference, Southampton, UK, 1998.
12. Haralick R.M. Statistical and structural approaches to texture. Proc. IEEE. 67:1979;786-804
13. Wechsler H. Texture analysis - a survey. Signal Process. 2:1980;271-282
14. Randen T., Husoy J.H. Filtering for texture classification: a comparative study. IEEE Trans. Pattern Anal. Machine Intell. 21:1999;291-310
15. Reed T.R., Du Buf J.M.H. A review of recent texture segmentation and feature extraction techniques. CVGIP: Image Understanding. 57:1993;359-372
16. Caelli T. Texture classification and segmentation algorithms in man and machine. Spatial Vision. 7:1993;277-292
17. Wang Z.L., Guerriero A., Desario M. Comparison of several approaches for the segmentation of texture images. Pattern Recognition Lett. 17:1996;509-521
18. Bajcsy R., Lieberman L. Texture gradient as a depth cue. Comput. Graph. Image Process. 5:1976;52-67
19. Reed T.R., Wechsler H. Segmentation of textured images and gestalt organization using spatial/spatial-frequency representations. IEEE Trans. Pattern Anal. Machine Intell. 12:1990;1-12
20. Bovik A.C., Clark M., Geisler W.S. Multichannel texture analysis using localized spatial filters. IEEE Trans. Pattern Anal. Machine Intell. 12:1990;55-73
21. Jain A.K., Farrokhnia F. Unsupervised texture segmentation using Gabor filters. Pattern Recognition. 24:1991;1167-1186
22. Teuner A., Pichler O., Hosticka B. Unsupervised texture segmentation of images using tuned matched Gabor filters. IEEE Trans. Image Process. 4:1995;863-870
23. Manjunath B.S., Ma W.Y. Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal. Machine Intell. 18:1996;837-842
24. Carter P.H. Texture discrimination using wavelets. SPIE Appl. Digital Image Processing XIV. 1567:1991;432-438
25. Laine A., Fan J. Texture classification by wavelet packet signatures. IEEE Trans. Pattern Anal. Machine Intell. 15:1993;1186-1191
26. Unser M. Texture classification and segmentation using wavelet frames. IEEE Trans. Image Process. 4:1995;1549-1560
27. Turner M.R. Texture discrimination by Gabor functions. Biol. Cybernet. 55:1986;71-82
28. Daugman J.G. Two-dimensional spectral analysis of cortical receptive field profiles. Vision Res. 20:1980;847-856
29. D. Marr, Vision, Freeman, New York, 1982, p. 397.
30. P. Vautrot, N. Bonnet, M. Herbin, Comparative study of different spatial/spatial-frequency methods (Gabor filters, wavelets, wavelets packets) for texture segmentation/classification, in: Proceedings of the International Conference on Image Processing, IEEE, Lausanne, Switzerland, 1996, p. 18A10.
31. Malik J., Perona P. Preattentive texture discrimination with early vision mechanisms. J. Opt. Soc. Am. 7:1990;923-932
32. Dunn D., Higgins W.E. Optimal Gabor filters for texture segmentation. IEEE Trans. Image Process. 4:1995;947-964
33. K.I. Laws, Textured image segmentation, Department of Electrical Engineering, Image Processing Institute, University of Southern California, Los Angeles, 1980.
34. Y. Xiang, V. Yingling, J. Silverberg, M.B. Schaffler, T. Raphan, Quantification of trabecular bone mass and orientation using Gabor wavelets, in: Proceedings of the 2003 ACM Symposium on Applied Computing (SAC 2003), The Association for Computing Machinery, Inc. (ACM), Melbourne, Florida, 2003, pp. 183-188.
35. R.S. Snider, J.C. Lee, A Stereotaxic Atlas of the Monkey Brain, The University of Chicago Press, Chicago, Illinois, 1961.