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Comparison of histomorphometrical data obtained with two different image analysis methods
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2007 (English)In: Journal of materials science. Materials in medicine, ISSN 0957-4530, E-ISSN 1573-4838, Vol. 18, no 8, 1471-1479 p.Article in journal (Refereed) Published
Abstract [en]

A common way to determine tissue acceptance of biomaterials is to perform histomorphometrical analysis on histologically stained sections from retrieved samples with surrounding tissue, using various methods. The "time and money consuming" methods and techniques used are often "in house standards". We address light microscopic investigations of bone tissue reactions on un-decalcified cut and ground sections of threaded implants. In order to screen sections and generate results faster, the aim of this pilot project was to compare results generated with the in-house standard visual image analysis tool (i.e., quantifications and judgements done by the naked eye) with a custom made automatic image analysis program. The histomorphometrical bone area measurements revealed no significant differences between the methods but the results of the bony contacts varied significantly. The raw results were in relative agreement, i.e., the values from the two methods were proportional to each other: low bony contact values in the visual method corresponded to low values with the automatic method. With similar resolution images and further improvements of the automatic method this difference should become insignificant. A great advantage using the new automatic image analysis method is that it is time saving-analysis time can be significantly reduced.

Place, publisher, year, edition, pages
2007. Vol. 18, no 8, 1471-1479 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-12443DOI: 10.1007/s10856-007-0150-1ISI: 000248226900001PubMedID: 17387585OAI: oai:DiVA.org:uu-12443DiVA: diva2:40212
Available from: 2007-12-20 Created: 2007-12-20 Last updated: 2017-12-11Bibliographically approved

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Borgefors, Gunilla

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