Entropy-based texture analysis of chromatin structure in advanced prostate cancer

Cytometry

Volumn 24, Issue 3, 1996, Pages 268-276

  Yogesan, K ^a,b   Jorgensen T ^a,c   Albregtsen, F ^b   Tveter, K J ^c   Danielsen, H E ^a  

^a OSLO UNIVERSITY HOSPITAL   (Norway)

^b UNIVERSITY OF OSLO   (Norway)

^c ULLEVÅL UNIVERSITY HOSPITAL   (Norway)

Author keywords

Entropy; Light microscopy; Prognosis; Prostate cancer; Texture analysis

Indexed keywords

ARTICLE; CELL NUCLEUS; CHROMATIN STRUCTURE; CONTROLLED STUDY; ENTROPY; HUMAN; HUMAN CELL; MAJOR CLINICAL STUDY; MALE; MICROSCOPY; PRIORITY JOURNAL; PROGNOSIS; PROSTATE CANCER;

CELL NUCLEUS; CHROMATIN; ENTROPY; FOLLOW-UP STUDIES; HUMANS; MALE; PROSTATIC NEOPLASMS;

EID: 0029680831     PISSN: 01964763     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0320(19960701)24:3<268::AID-CYTO10>3.0.CO;2-O     Document Type: Article

References (31)

1. Albregtsen F, Yogesan K, Farrants G, Danielsen HE: Texture Discrimination of Normal and Malignant Mouse Liver Cell Nuclei. In: Theory and Applications of Image Analysis: Selected Papers From The 7th Scandinavian Conference on Image Analysis, Johansen P, Olsen S (eds). World Scientific Publishing Company, Singapore, 1992.
2. Christen R, Xiao J, Minimo C, Gibbons G, Fitzpatrick BT, Galera-Davidson H, Bartels PH, Bibbo M: Chromatin texture features in hematoxylin and eosin-stained prostate tissue. Anal Quant Cytol Histol 15:383-388, 1993.
3. Chu A, Sehgal CM, Greenleaf JF: Use of gray value distribution of run lengths for texture analysis. Pattern Recogn Lett 11:415-420, 1990.
4. Conners RW, Trivedi MM, Harlow CA: Segmentation of a high-resolution urban scene using texture operators. Comput Vision Graphics Image Process 25:273-310, 1984.
5. Danielsen HE, Farrants G, Reith A: Characterization of chromatin structure by image analysis - A method for the assessment of changes in chromatin organization. Scanning Microsc Suppl 3:297-302, 1989.
6. Dufer J, Liautaud-Roger F, Barbarin D, Coninx P: Nucleus image analysis as possible prognostic toll in grading breast cancer. Biomed Pharmacother 47:131-135, 1993.
7. Galloway MM: Texture analysis using gray level run lengths. Comput Graphics Image Process 4:172-179, 1975.
8. Greenough RB: Varying degrees of malignancy in cancer of the breast. Cancer Res 9:453-463, 1925.
9. Groen FCA, Young IT, Ligthart G: A comparison of different focus functions for use in autofocus algorithms. Cytometry 6:81-91, 1985.
10. Haralick RM, Shanmugam K, Dinstein I: Textural features for image classification. IEEE Transact Systems Man Cybernetics 3:610-621, 1973.
11. Harwood D, Subbarao M, Hakalahti H, Davis LS: A New Class of Edge-Preserving Smoothing Filters. Report CAR-TR-59, University of Maryland, 1984.
12. Jagoe R, Sowler C, Slavin G: Shape and texture analysis of liver cell nuclei in hepatomas by computer aided microscopy. J Clin Pathol 37:755-762, 1984.
13. Jørgensen T, Tveter K, the members of SPCG-2 group, Jørgensen L: Total androgen suppression in metastatic prostatic cancer: experience from the Scandinavian prostatic cancer group study No. 2. Eur Urol 24:466-470, 1993.
14. Jørgensen T, Yogesan K, Skjørten F, Berner A, Tveter KJ, Danielsen HE: Histopathological grading and DNA ploidy as prognostic markers in metastatic prostatic cancer. Br J Cancer 71:1055-1060, 1995.
15. Jørgensen T, Yogesan K, Albregtsen F, Kaalhus O, Tveter KJ, Danielsen HE: Nuclear texture analysis: A new prognostic tool in metastatic prostate cancer. Cytometry 23:277-283, 1996.
16. Kleinbaum DG, Kupper LL: Applied Regression Analysis and Other Multivariate Methods. Duxbury Press, North Scituate, MA, 1978.
17. Lachenbruch PA: Discriminant Analysis. Hafner Press, New York, 1975.
18. Liu HC, Pei CC: Autofocusing of optical microscope using image analysis techniques. Proceedings of the 9th Scandinavian Conference on Image Analysis, Vol 2, pp 1165-1169, Sweden, 1995.
19. Lowitz GE: Can a local histogram really map texture information? Pattern Recogn 16:141-147, 1983.
20. Mirkovitch J, Gasser SM, Laemmli UK: Relation of chromosome structure and gene expression. Phil Trans R Soc London [Biol] 317: 563-574, 1987.
21. x Advanced Statistics Guide. McGraw Hill, New York, 1985, pp 75-122.
22. Parkkinen J, Selkaainaho K, Oja E: Detecting texture periodicity from the cooccurrence matrix. Pattern Recogn Lett 11:43-50, 1990.
23. Pienta KJ, Partin AW, Coffey DS: Cancer as a disease of DNA organization and dynamic cell structure. Cancer Res 49:2525-2532, 1989.
24. Pressman NJ: Optical Texture Analysis for automatic Cytology and Histology: A Markovian Approach. Lawrence Livermore Laboratory Report UCRL-52155, Livermore, CA, 1976.
25. Prewitt JM: Object enhancement and extraction. In: Picture Processing and Psychopictorics, BS Lipkin and A Rosenfeld (eds). Academic Press, New York, 1970.
26. Weszka J, Dyer C, Rosenfeld A: A comparative study of texture measures for terrain classification. IEEE Transact Systems Man Cybernetics 3:158-164, 1976.
27. Worcel A, Han S, Wang ML: Assembly of newly replicated chromatin. Cell 15:969-977, 1978.
28. Yogesan K, Albregtsen F, Reith A, Danielsen HE: Cooccurrence and run length-based texture analysis of experimental liver carcinogenesis in mice. Proceedings of the 8th Scandinavian Conference on Image Analysis, Vol 1, pp 227-234, Norway, 1993.
29. Young IT, Vanderlaan M, Kromhout L, Jensen R, Grover A, King E: Morphological changes in rat urothelial cells during carcinogenesis: II. Image cytometry. Cytometry 5:454-462, 1984.
30. Young IT, Verbeek PW, Mayall BH: Characterization of chromatin distribution in cell nuclei. Cytometry 7:467-474, 1986.
31. Yunis JJ, Yasmineh WG: Heterochromatin, satellite DNA and cell function. Science 174:1200-1209, 1971.