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Within the limitations of this study, our results indicate that microtomography, with proposed semi-automatic algorithm, is a useful tools for three-dimensional quantitative evaluation of dental root canal fillings. In canals filled with thermoplastic gutta-percha and Tubli-Seal, voids at the interface between the filling and canal dentine deserve special attention due to of their periapical location, which might promote apical microleakage. Further studies might help to elucidate the clinical relevance of these results.

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Conventional convex hull algorithm determines the smallest convex polygon that contains the analyzed shape. The article presents a modification of this algorithm, which allows us to select the concavity to detect. In contrast to the typical convex hull algorithm, the data are analyzed in portions. This paper proposes the use of this modified algorithm for the defects detection on medical images. Two types of images were used: micro-computer tomography images of dental root canals filled with sealer and magnetic resonance images of a patient hand with rheumatoid arthritis. Those images contained some defects that needed to be measured. Prepared algorithm greatly facilitated this process by supporting the user in the segmentation process. The achieved results were positively evaluated by experts - doctors: rheumatologists and endodontists.