Literature DB >> 26362075

Fractal texture analysis of the healing process after bone loss.

Marta Borowska1, Janusz Szarmach2, Edward Oczeretko3.   

Abstract

Radiological assessment of treatment effectiveness of guided bone regeneration (GBR) method in postresectal and postcystal bone loss cases, observed for one year. Group of 25 patients (17 females and 8 males) who underwent root resection with cystectomy were evaluated. The following combination therapy of intraosseous deficits was used, consisting of bone augmentation with xenogenic material together with covering regenerative membranes and tight wound closure. The bone regeneration process was estimated, comparing the images taken on the day of the surgery and 12 months later, by means of Kodak RVG 6100 digital radiography set. The interpretation of the radiovisiographic image depends on the evaluation ability of the eye looking at it, which leaves a large margin of uncertainty. So, several texture analysis techniques were developed and used sequentially on the radiographic image. For each method, the results were the mean from the 25 images. These methods compute the fractal dimension (D), each one having its own theoretic basis. We used five techniques for calculating fractal dimension: power spectral density method, triangular prism surface area method, blanket method, intensity difference scaling method and variogram analysis. Our study showed a decrease of fractal dimension during the healing process after bone loss. We also found evidence that various methods of calculating fractal dimension give different results. During the healing process after bone loss, the surfaces of radiographic images became smooth. The result obtained show that our findings may be of great importance for diagnostic purpose.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26362075     DOI: 10.1016/j.compmedimag.2015.08.001

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  4 in total

1.  Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval.

Authors:  José Raniery Ferreira; Paulo Mazzoncini de Azevedo-Marques; Marcelo Costa Oliveira
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-08-23       Impact factor: 2.924

2.  Use of fractal analysis in dental images: a systematic review.

Authors:  Camila Nao Kato; Sâmila G Barra; Núbia Pk Tavares; Tânia Mp Amaral; Cláudia B Brasileiro; Ricardo A Mesquita; Lucas G Abreu
Journal:  Dentomaxillofac Radiol       Date:  2019-08-20       Impact factor: 2.419

3.  Comparison between fractal analysis and radiopacity evaluation as a tool for studying repair of an osseous defect in an animal model using biomaterials.

Authors:  Nathália R Gomes; Juliano D S Albergaria; Jonathas A de S Henriques; Tânia M P Amaral; Evandro N Abdo; Gerluza A B Silva; Cláudia Borges Brasileiro
Journal:  Dentomaxillofac Radiol       Date:  2019-07-23       Impact factor: 2.419

4.  The use of digital texture image analysis in determining the masticatory efficiency outcome.

Authors:  Aleksandra Milić Lemić; Katarina Rajković; Katarina Radović; Rade Živković; Biljana Miličić; Mirjana Perić
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

  4 in total

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