Publication: Novel method to delineate palatal rugae and assess their complexity using fractal analysis
dc.contributor.author | Athanasiou, Athanasios E | |
dc.date.accessioned | 2024-10-02T05:32:12Z | |
dc.date.available | 2024-10-02T05:32:12Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Abstract: Palatal rugae constitute signifcant morphological landmarks, with wide clinical applications in forensics, insertion of mini-screws, and superimposition. Their morphology has been studied mainly with indices relevant to their qualitative characteristics. The present paper aims at presenting a new quantitative method to evaluate their complexity, by means of box-counting fractal dimension analysis, and to investigate its inter- and intra-rater reliability. Twenty maxillary plaster models were scanned for the needs of this study. A sequence of steps, including cropping of the mesh, ball pivoting, distance mapping and fractal dimension analysis, performed with Viewbox 4 software, was followed. Box-counting fractal dimensions were calculated as a measure of rugae’s complexity. Inter- and intrarater reliability were investigated, using Bland–Altman analysis. Fractal dimensions ranged from 1.274 to 1.491 (average: 1.412). Bland–Altman analysis of inter- and intra-examiner reliability demonstrated that the 95% limits of agreement ranged from − 0.012 to 0.011 and from − 0.004 to 0.004, respectively. The method is reliable and can be applied in research and forensics. It ofers comprehensive evaluation of the rugae’s complexity and a complete set of information about their outlines and height profles, with minimum user intervention. | en_US |
dc.identifier.other | 304-2022.28 | |
dc.identifier.uri | https://repository.mbru.ac.ae/handle/1/1523 | |
dc.language.iso | en | en_US |
dc.subject | Palatal rugae | en_US |
dc.subject | Fractal analysis | en_US |
dc.subject | Assessment | en_US |
dc.title | Novel method to delineate palatal rugae and assess their complexity using fractal analysis | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | en_US |