Use of fractal analysis in dental images: a systematic review
This study reviewed the use of fractal analysis (FA) in dental images. A search was performed using PubMed, MEDLINE, LILACS, Web of Science and SCOPUS databases. The inclusion criteria were human studies in the English language, with no date restriction. 78 articles were found in which FA was applie...
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Published in | Dento-maxillo-facial radiology Vol. 49; no. 2; p. 20180457 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
The British Institute of Radiology
01.02.2020
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Subjects | |
Online Access | Get full text |
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Summary: | This study reviewed the use of fractal analysis (FA) in dental images.
A search was performed using PubMed, MEDLINE, LILACS, Web of Science and SCOPUS databases. The inclusion criteria were human studies in the English language, with no date restriction.
78 articles were found in which FA was applied to panoramic radiographs (34), periapical radiographs (21), bitewing radiographs (4), cephalometric radiograph (1), cone beam CT (15), micro-CT (3), sialography (2), and ultrasound (2). Low bone mineral density (21) and systemic or local diseases (22) around the bone of dental implants were the main subjects of the study of FA. Various sizes and sites of the regions of interest were used to evaluate the bone structure. Different ways were used to treat the image and to calculate FA. FA of 43 articles showed significant differences in the comparison of groups, mainly between healthy and sick patients.
FA in Dentistry has been widely applied to the study of images. Panoramic and periapical radiographs were those most frequently used. The
software and the box-counting method were extensively adopted in the studies reviewed herein. Further studies are encouraged to improve clarification of the parameters that directly influence FA. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
ISSN: | 0250-832X 1476-542X |
DOI: | 10.1259/dmfr.20180457 |