Fractal Analysis of Dental Radiographic Images in the Irregular Regions of Interest

Oczeretko, Edward; Borowska, Marta; Szarmach, Izabela; Kitlas, Agnieszka; Szarmach, Janusz; Radwański, Andrzej

doi:10.1007/978-3-642-13105-9_20

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…[3] The fascinating concept of FA dates back to early 1900's when Bachelier in 1900, Kolmogorov in 1941, Mandelbrot in 1963 and Frish in 1995 pioneered the significance and uniqueness of this procedure. [4] Oczeretko et al [5] have demonstrated different methods of FA, used to measure roughed areas in dental radiographs, one of which is "box counting" method, adopted in our study. Fractal objects have three important features of self-similarity, chaos and non-integer FD.…”

Section: Discussionmentioning

confidence: 95%

“…This is the most common used method to quantify the trabecular pattern by calculating the trabecular bone and bone marrow interface. [4][5][6] This is used as preliminary assessing and prognosticating tool on bone quality in case of dental implants. [7][8][9] The purpose of this study is to evaluate if edentulous sites had different bone quality compared to sites with teeth.…”

Section: Introductionmentioning

confidence: 99%

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Comparative evaluation of bone densities in edentulous and dentulous areas by fractal analysis on panoramic radiographs - A retrospective study

Palla¹,

Rangdhol²,

Jeelani³

et al. 2017

JCRI

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Aim: Aim of the study was to evaluate the difference in bone trabecular pattern in terms of fractal dimensions (FD), in edentulous and dentulous areas on contralateral sides of the same patient's radiograph. Methodology: A retrospective study using box counting method of fractal analysis was performed on pre-processed 97 digital orthopantomographs (OPGs), after subjecting to inclusion and exclusion criteria with the fractal three software. Results: The mean FD of dentulous and edentulous regions was 1.812 ± 0.085 and 1.728±0.105 (P < 0.005), respectively, calculated by paired sample tests. Higher age group (Group 3) had lower FD values than other two groups (P > 0.01). Female sex had lower FD values than males (P > 0.01). Conclusion: The tooth loss (edentulous state) is associated with low FD, compared to tooth bearing areas. The method can be used to as a quick tool, to evaluate and compare the bone quality when prosthetic treatments are to be planned.

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Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Comparative evaluation of bone densities in edentulous and dentulous areas by fractal analysis on panoramic radiographs - A retrospective study

Palla¹,

Rangdhol²,

Jeelani³

et al. 2017

JCRI

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“…It also contrast with a more recent work by Geraets et al [103] who studied the effect of including portions of the roots of adjacent teeth in ROIs used to determine some radiographic parameters including the FD, and found that including part of the teeth in the ROI did not reduce the ability to predict bone mineral density. Oczeretko et al [167,168] proposed a method to measure FD on irregular ROIs based on the intensity difference scaling method [169], which could serve to properly isolate the tissue under study.…”

Section: 10mentioning

confidence: 99%

Fractals in dentistry

Sánchez¹,

Uzcátegui²

2011

Journal of Dentistry

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“…Fractal dimension analysis is one of the noninvasive, well-suited methods to analyze the bone texture on a plain radiograph [ 10 ]. This method is used to quantify the trabecular bone pattern and bone marrow interface using the box-counting logarithm [ 11 , 12 ]. The fractal analysis is a statistical analysis of texture based on fractal geometry for describing complex structural patterns recognized and expressed as a ratio termed as the “fractal dimension” FD [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Bone Texture Fractal Dimension Analysis of Ultrasound-Treated Bone around Implant Site: A Double-Blind Clinical Trial

Abdulhameed

Al‐Rawi

Uthman

et al. 2018

International Journal of Dentistry

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Objectives To evaluate the efficacy of bone texture fractal dimension (FD) analysis method in predicting implant stability from intraoral periapical radiographs using two implant protocols. Materials and Methods A double-blind clinical trial was conducted on 22 subjects who needed dental implants. The participants were randomized into two groups, the control group with standard implant protocol treatment and the intervention group with added low-intensity power ultrasound treatment (LIPUS) besides the standard implant protocol. The FD values of bone density were carried out on the mesial and distal sides of the implant on digital intraoral radiographs using the box-counting method. Both resonance frequency (RF) and fractal dimension (FD) were assessed in three time intervals: after surgery and before and after loading. Results FD on both the mesial and distal sides serve as very good-to-excellent tests with high validity (ROC area exceeding 0.8) in predicting high implant stability (ISQ ≥ 70). The mesial side measurements were consistently better than the distal side among the intervention groups. The optimum cutoff value for the FD-mesial side that predicts a highly stable implant (ISQ ≥ 70) is ≥1.505. At this optimum cutoff value, the mesial side FD is associated with a perfect sensitivity (100%) and fairly high specificity (86.5%). Conclusion The FD analysis could be recommended as an adjunctive quantitative method in prediction of the implant stability with very high sensitivity and specificity. This trial is registered with ISRCTN72648040.

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Fractal Analysis of Dental Radiographic Images in the Irregular Regions of Interest

Cited by 9 publications

References 13 publications

Comparative evaluation of bone densities in edentulous and dentulous areas by fractal analysis on panoramic radiographs - A retrospective study

Comparative evaluation of bone densities in edentulous and dentulous areas by fractal analysis on panoramic radiographs - A retrospective study

Fractals in dentistry

Bone Texture Fractal Dimension Analysis of Ultrasound-Treated Bone around Implant Site: A Double-Blind Clinical Trial

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