Texture analysis methodologies for magnetic resonance imaging

Dialogues in Clinical Neuroscience

Volumn 6, Issue 2, 2004, Pages 243-250

  Materka, Andrzej ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Magnetic resonance imaging; Quantitative texture analysis

Indexed keywords

BRAIN; COMPUTER PROGRAM; COOPERATION IN THE FIELD OF SCIENTIFIC AND TECHNICAL RESEARCH; DIGITAL RADIOGRAPHY; EUROPE; HUMAN; METHODOLOGY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; QUANTITATIVE ANALYSIS; RESEARCH; REVIEW; SKULL; TEXTURE ANALYSIS;

EID: 3042735446     PISSN: 12948322     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (41)

1. Lerski R, Straughan K, Shad L, et al. MR image texture analysis - an approach to tissue characterisation. Magn Reson Imaging. 1993;11:873-887.
2. Materka A, Strzelecki M. Texture analysis methods - A review. COST B11 Technical Report, Lodz-Brussels: Technical University of Lodz; 1998. Available at http://www.eletel.p.lodz.pl/cost/publications.html. Accessed 3 December 2003.
3. COST B11. Quantitation of Magnetic Resonance Image Texture. Department of Physiology, University of Bergen, Norway. Available at http://www.uib.no/ costb11/. Accessed 3 December 2003.
4. MaZda Software. Medical Electronic Division, Technical University of Lodz, Lodz, Poland. Available at http://www.eletel.p.lodz.pl/cost/software.html. Accessed 3 December 2003.
5. Rosenfeld A, Kak A. Digital Picture Processing. New York, NY: Academic Press; 1982.
6. Levine M. Vision in Man and Machine. New York, NY: McGraw-Hill; 1985.
7. Brodatz P. Textures - A Photographic Album for Artists and Designers. New York, NY: Dover; 1966.
8. Haralick R. Statistical and structural approaches to texture. Proc IEEE. 1979;67:786-804.
9. Serra J. Image Analysis and Mathematical Morphology. London, UK: Academic Press; 1982.
10. Chen Y, Dougherty E. Grey-scale morphological granulometric texture classification. Opt Eng. 1994;33:2713-2722.
11. Weszka J, Deya C, Rosenfeld A. A comparative study of texture measures for terrain classification. IEEE Trans Syst Man Cybern. 1976;6:269-285.
12. Julesz B. Experiments in the visual perception of texture. Sci Am. 1975;232:34-43.
13. Niemann H. Pattern Analysis. Berlin, Germany: Springer-Verlag; 1981.
14. Strzelecki M. Segmentation of Textured Biomedical Images Using Neural Networks [in Polish]. PhD Thesis, Technical University of Lodz, Poland; 1995.
15. Cross G, Jain A. Markov random field texture models. IEEE Trans Patt Anal Mach Int. 1983;5:25-39.
16. Pentland A. Fractal-based description of natural scenes. IEEE Trans Patt Anal Mach Int. 1984;6:661-674.
17. Chellappa R, Chatterjee S. Classification of textures using Gaussian Markov random fields. IEEE Trans Acous Speech Sig Proc. 1985;33:959-963.
18. Derin H, Elliot H. Modeling and segmentation of noisy and textured images using Gibbs random fields. IEEE Trans Patt Anal Mach Int. 1987;9:39-55.
19. Manjunath B, Chellappa R. Unsupervised texture segmentation using Markov random fields. IEEE Trans Patt Anal Mach Int. 1991;13:478-482.
20. Strzelecki M, Materka A. Markov random fields as models of textured biomedical images. Proceedings of the 20th National Conference Circuit Theory Electronic Networks 1997. Kolobrzeg, Poland; 1997:493-498.
21. Chaudhuri B, Sarkar N. Texture segmentation using fractal dimension. IEEE Trans Patt Anal Mach Int. 1995;17:72-77.
22. Kaplan L Kuo C. Texture roughness analysis and synthesis via extended self-similar (ESS) model. IEEE Trans Patt Anal Mach Int. 1995;17:1043-1056.
23. Materka A, Cichy P, Tuliszkiewicz J. Texture analysis of X-ray images for detection of changes in bone mass and structure. In: Pietikainen M, ed. Texture Analysis in Machine Vision, Series in Machine Perception and Artificial Intelligence. Vol 40. Singapore: World Scientific; 2000:189-195.
24. Rosenfeld A, Weszka J. Picture recognition. In: Fu K, ed. Digital Pattern Recognition. Berlin, Germany: Springer-Verlag; 1980:135-166.
25. Daugman J. Uncertainty relation for resolution in space, spatial frequency and orientation optimised by two-dimensional visual cortical filters. J Opt Soc Am. 1985;2:1160-1169.
26. Bovik A, Clark M, Giesler W. Multichannel texture analysis using localised spatial filters. IEEE Trans Patt Anal Mach Int. 1990;12:55-73.
27. Mallat S. Multifrequency channel decomposition of images and wavelet models. IEEE Trans Acous Speech Sig Proc. 1989;37:2091-2110.
28. Laine A, Fan J. Texture classification by wavelet packet signatures. IEEE Trans Patt Anal Mach Int. 1993;15:1186-1191.
29. Lu C, Chung P, Chen C. Unsupervised texture segmentation via wavelet transform. Patt Rec. 1997;30:729-742.
30. Brady M, Xie Z. Feature selection for texture segmentation. In: Bowyer K, Ahuja N, eds. Advances in Image Understanding. Los Alamitos, Calif: IEEE Computer Society Press; 1996.
31. Lu C, Chung P, Chen C. Unsupervised texture segmentation via wavelet transform. Patt Recog. 1997;30:729-742.
32. Fukunaga K. Introduction to Statistical Pattern Recognition. San Diego, Calif: Academic Press; 1991.
33. Materka A. MaZda User's Manual. Available at http://www.eletel.p.lodz.pl/ cost/ Accessed 3 December 2003.
34. Krzanowski W. Principles of Multivariable Data Analysis, Oxford, UK: Oxford University Press; 1988.
35. Mao J, Jain A. Artificial neural networks for feature extraction and multivariate data projection. IEEE Trans Neural Networks. 1995;6:296-316.
36. Duda R, Hart P. Pattern Classification and Scene Analysis. New York, NY: Wiley; 1973.
37. Freeman J, Skapura D. Neural Networks-Algorithms, Applications and Programming Techniques. Redwood City, Calif: Addison-Wesley; 1991.
38. Hecht-Nielsen R. Neurocomputing. Reading, Mass: Addison-Wesley; 1989.
39. Materka A, Strzelecki, Lerski R, et al. Feature evaluation of texture test objects for magnetic resonance imaging. In: Pietikainen M, ed. Texture Analysis in Machine Vision, Series in Machine Perception and Artificial Intelligence. Vol 40. Singapore: World Scientific; 2000:197-206.
40. Jirak D, Dezortova M, Taimy P, et al. Texture analysis of human liver. J Magn Reson Imaging. 2002;15:68-74.
41. Szczypinski P, Kociolek M, Materka A, et al. Computer program for image texture analysis in PhD student laboratory. ICSES 2001. Lodz. 2001:255-261.