Bone histomorphometry using interactive image analysis. A methodological study with application on the human temporomandibular joint.
1997 (English)In: European Journal of Oral Sciences, ISSN 0909-8836, E-ISSN 1600-0722, Vol. 105, no 1, 67-73 p.Article in journal (Refereed) Published
The aim was to develop a reproducible method for bone histomorphometry with the aid of a computerized image analysis program, and to examine the variation when assessing the total and the trabecular bone volume. Histologic sections of 18 temporomandibular joint autopsy specimens were read interactively using a cursor. The two parameters total bone volume and trabecular bone volume, of the condyle and the temporal component respectively, were estimated 2 x by 1 observer using 3 different threshold settings: an automatic, a semi-automatic and a manual technique. The threshold was based on the gray-scale distribution of the image. 2 observers read the same sections with the aid of the semi-automatic technique. The intra-observer variation expressed as coefficient of variation ranged between 1.9% and 7.1% for the different parameters, when the automatic threshold setting technique was employed, and between 2.8% and 8.7% with the semi-automatic technique. The manual technique resulted in a high intra-observer variation with a coefficient of variation between 5.2% and 19.9%. There was a systematic difference between the estimates of the 2 observers. In general, intra- and inter-observer variation was higher in the temporal component than in the condyle. The inter-section variation was moderate, the coefficient of variation ranging from 3.8% to 11.1%. The automatic and semi-automatic techniques resulted in comparable intra-observer variation, with a lower bias in the estimates of the semi-automatic technique. By letting one observer apply the semi-automatic technique, it was possible to achieve fast and reproducible analysis of the total and trabecular bone volume.
Place, publisher, year, edition, pages
Wiley-Blackwell, 1997. Vol. 105, no 1, 67-73 p.
image processing;computer–assisted;observer variation;bone density
IdentifiersURN: urn:nbn:se:umu:diva-89549DOI: 10.1111/j.1600-0722.1997.tb00182.xISI: A1997WN75200011PubMedID: 9085031OAI: oai:DiVA.org:umu-89549DiVA: diva2:721477