Abstract
The effectiveness of computer‐aided morphometry is greatly dependent of the capabilities of the software platforms, but the literatutre provides only information about the measurement methods and thier medical interpretation. The purpose of our work is to create a link between the technical algorithm and the medical significance, by a detialed description of measurement procedures, accompained by the interpretation of thier results. The developmed techniques operate at a pixel level, by deriving a full benefit from the computational resources avilable in the modern software evnvironments for image processing. The approach is built on three illustrative cases, formulated in a large sense, so as to cover classes of general problems, referring to cellular entities and tubular structures in cross and longitudinal section. Specimens belonging to the dentin‐pulp complex were chosen, because they permit a quantitiative analysis for each morphological element, as well as comparative discussion. With appropriate adaptations of the procedures, the measurements of other types of normal and pathological tissues and be analogously addressd. The design, implementation and exploittion of our procedures are supported by specific references to the use of an image analysis system (Zeiss KS400). The algorithmic background remains valid (except for some possible minor changes) when similar software is used. Consequently, the results and thier interpretations, prove the importance of the numerical analysis in automating the quantitative evaluation of the structural features.
Keywords: morophometry, computer‐aided image processing, quantitative analysis, dental histology
References
- 1. Connely D.P., Embedding expert systems in laboratory information systems, Am. J. Clin. Pathol., 94: 507, 1990. [PubMed] [Google Scholar]
- 2. Ehricke H., Grunert T., Buck T., Kolb R., Skalej M., Medical workstations for applied imaging and graphics research, Computerized Medical Imaging and Graphics, 18: 403, 1994. [DOI] [PubMed] [Google Scholar]
- 3. Hamilton P.W., Allen D.C., Morphometry in histopathology, J. Pathology, 175: 369, 1995. [DOI] [PubMed] [Google Scholar]
- 4. Hamilton P.W., Anderson N.H., Diamond J., Trewin S., Montironi R., Bartels P.H., Computer‐based decision support systems in Diagnostic Pathology, Electronic Journal of Pathology, 3: 973–04 txt, 1997. [Google Scholar]
- 5. Olinici C.D., Vaida M.F., Quantitative and Morphological Analysis Methods in Biology and Medicine (Romanian), Ed. Tehnica, Bucuresti , 1997. [Google Scholar]
- 6. Kontron Elektronik GmbH , Imaging System KS 400, Rel. 2.0, User's Guide, Munchen, 1996.
- 7. Carl Zeiss Vision GmbH , Imaging Components and Systems, Halbergmoos http://www.zeiss.de/Imaging, 2002.
- 8. Media Cybernetics, Inc. , OPTIMAS Image Analysis Software, Silver Spring, Maryland, http://www.opti‐mas.com, 2002.
- 9. Image Science Software GmbH , IMAGIC‐5, Berlin (http://www.imagescience.de), 2002.
- 10. National Institutes of Health – Research Services Branch, NIH‐Image, Bethesda , Maryland http://www.rsb.info.nih.gov, 2002. [Google Scholar]
- 11. The MathWorks, Inc. , Image Processing Toolbox for MATLAB, Natick, Massachusetts http://www.math‐works.com, 2002.
- 12. Pratt W.K., Digital Image Processing, John Wiley & Sons, New York , 1991. [Google Scholar]
- 13. Russ J.C., The Image Processing Handbook, 3rd ed., CRP Press, 1999. [Google Scholar]
- 14. Seul M., O'Gorman L., Sammon M.J., Practical Algorithms for Image Analysis: Description, Examples, and Code, Cambridge University Press, 2000. [Google Scholar]
- 15. Shapiro L.G., Stockman G.C., Computer Vision, Prentice Hall, Upper Saddle River, New Jersey , 2001. [Google Scholar]
- 16. Gonzales R.C., Woods R.E., Digital Image Processing, 2nd. ed., Addison‐Wesley Pub. Co., 2002. [Google Scholar]
- 17. Kindratenko V., Development and Application of Image Analysis Techniques for Identification and Classification of Microscopic Particles Ph.D. Thesis, University of Antwerp, Belgium , 1997. [Google Scholar]
- 18. Chmelar J., Sandvik K., A comparison of wet and dry autogenous grinding, Mineral Processing on the Verge of the 21st Century, 35–39, Balkema, Antalya , Turkey , 2000. [Google Scholar]
- 19. Malkusch W., Fundamentals and problem‐solving sequences of quantitative image analysis, Laboratory Focus 4, 2000. [Google Scholar]
- 20. Jarchow R., Image Analysis with KS 400, http://www.multimedia.uni‐greifswald.de, 2002.
- 21. Xu C., Lu M.G., Feng J.S., Guo Q.S., Wang Y.F., Germ cell apoptosis induced by Ureaplasma urealyticum infection, Asian J. Androl. 3: 199, 2001. [PubMed] [Google Scholar]
- 22. Institute of Biologic and Life Science ‐ Image Analysis Centre , Image Analysis Recent Work, Glasgow – http://www.gla.ac.uk/ibls/ASU/imagan, 2002.
- 23. Tramontina V.A., Machado M.A.N., Kim S.H., Viterbo F., Nogueira‐Filho G.R., Toledo S., Effect of fibrin glue (Tissucol) and fibrin glue prepaired from snake venom on palatal wound healing in rabbits, IADR/AADR/CADR 80th General Session, San Diego, 2002.
- 24. Macovei G.N., Varlam H., Antohe D.S., Morpho‐metric analysis of the middle cerebral artery system in 13–15 week old human fetuses (Romanian), Rev. Med. Chir. Soc. Med. Nat. (in press).
- 25. Avery J.K., Oral Development and Histology, 2nd ed., Thieme Medical Publishers, Inc., New York , 1994. [Google Scholar]
- 26. Ten Cate A.R., Oral Histology. Development, Structure and Function, 5th ed., Mosby , St. Louis, 1998. [Google Scholar]
- 27. Weibel E.R., Measuring through the microscope: development and evolution of stereological methods, J. Microscopy, 155: 393, 1989. [DOI] [PubMed] [Google Scholar]
- 28. Zaitoun A.M., Oppong K.N.W., Record C.O., Al Mardini H., Morphometric analysis of oval cell proliferation in liver injury induced by thioacetamide in the rat, Electronic Journal of Pathology, 2: 961–04 txt, 1996. [Google Scholar]
- 29. Zaitoun A.M., Al Mardini H., Awad S., Ukabam S., Makadisi S., Record C.O., Quantitative assessment of fibrosis and steatosis in liver biopsies from patients with chronic hepatitis C, J. Clin. Pathol., 54: 461, 2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Stolnicu S., Frincu D., Rãdulescu D., Modis L., Mocan S., Jung J., Stereological study on malignant melanoma of the choroid and ciliary body, J. Med. Biochem., 4: 131, 2000. [Google Scholar]
- 31. Sant'Anna M.M., Apfel M.I., Chondromalacia induced by patellar subluxation: morphological and morphometrical aspects in rabbits, J. Cell Mol. Med., 6: 261–270, 2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Paulo F.L., Effects of oral supplement of L‐glutamine on diverted colon wall, J. Cell Mol. Med., 6: 377–382, 2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Santinelli A., Mazzucchelli R., Colanzi P., Tinca A., Montironi R., Image processing, diagnostic information extraction and quantitative assessment in pathology, J. Cell Mol. Med., 6: 93–106, 2002. [DOI] [PMC free article] [PubMed] [Google Scholar]