title: Fractal texture analysis of the healing process after bone loss.
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.
authors.affiliation: Bialystok University of Technology, Faculty of Mechanical Engineering, Department of Materials and Biomedical Engineering, Wiejska 45C, 15-351 Białystok, Poland. Electronic address: m.borowska@pb.edu.pl.
authors.forename: Marta
authors.initials: M
authors.lastname: Borowska
authors.affiliation: Medical University of Bialystok, Department of Oral Surgery, M. Curie-Skłodowskiej 24A, 15-276 Białystok, Poland.
authors.forename: Janusz
authors.initials: J
authors.lastname: Szarmach
authors.affiliation: Bialystok University of Technology, Faculty of Mechanical Engineering, Department of Materials and Biomedical Engineering, Wiejska 45C, 15-351 Białystok, Poland.
authors.forename: Edward
authors.initials: E
authors.lastname: Oczeretko
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D001861:Bone Regeneration; D001862:Bone Resorption / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D005260:Female; D017709:Fractals; D006801:Humans; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016896:Treatment Outcome; D055815:Young Adult