Fractal Analysis of Periapical Bone from Lossy Compressed Radiographs: A Comparison of Two Lossy Compression Methods

Baksı, B. Güniz; Fidler, Aleš

doi:10.1007/s10278-011-9383-0

Cited by 24 publications

(16 citation statements)

References 27 publications

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“…Baksi and Fidler, also evaluated the effect of lossy image compressions on FD calculation. The results of this study indicate that the fractal dimension is not affected by lossy image, namely to JPEG and JPEG 2000 at approximate compression ratio of 1:30 (17).…”

Section: Introductionmentioning

confidence: 71%

“…Regarding the image compression, only one study has been done in the past to investigate the effect of lossy compression on the fractal values of the periapical images (17). The aforementioned study, which is done by the same group of authors Baksi and Fidler, indicates that fractal analysis is insensible to lossy image compression, namely to JPEG and JPEG 2000 at approximate compression ratio of 1:30.…”

Section: Discussionmentioning

confidence: 99%

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Effect of Image Resolution and Compression on Fractal Analysis of the Periapical Bone

et al. 2019

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Introduction:Fractal dimension (FD) on periapical radiographs is used as a simple descriptor of the complex architecture of the trabecular bone surrounding the dentition. It is used on periapical and panoramic radiographs as a descriptor of the complex architecture of trabecular bone surrounding teeth.Aim:The aim of this study was to evaluate the effect of image resolution and different compression levels on fractal dimension of alveolar bone with images obtained using storage phosphor plate (SPP) system.Methods:Periapical images of premolar and molar teeth on both sides of three dry human mandibles were obtained with Digora Optime (Soredex Corp., Helsinki, Finland) SPP system. The SPPs were exposed equally and scanned immediately after exposure with standard, high and very high resolutions. All the images then were compressed and saved by degrees of 0%, 25%, 50%, 75% and 90%. FD was calculated using public domain software (ImageJ with FracLac plug-in) on two non-overlapping regions of interest (ROIs) on premolar and molar periapical bone areas of each radiograph using differential box-counting method. The ROIs on corresponding images were of the same size and position. FDs were compared using two-way ANOVA and Tukey–Kramer multiple comparison tests (p=0.05).Results:There was no significant difference in FD calculations in different levels of compression for all the resolutions. Images obtained with high resolution scans showed significantly lower variation in FD values compared to very high and standard resolutions for all compressions (p<0.0001).Conclusion:The high resolution demonstrated the lowest variation in FD values in all levels of compression which makes it the most reliable and consistent resolution for measuring the FD values. The level of compression does not make a significant difference in FD values for all the scan resolutions. Scanning resolution of SPPs should be carefully chosen when evaluating the change in FD of alveolar bone for various bone disorders.

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Section: Introductionmentioning

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Effect of Image Resolution and Compression on Fractal Analysis of the Periapical Bone

et al. 2019

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“…5,14,15,22,75 FB'un, ROI seçimine ait parametrelerden, boyut, şekil ve yerleştirildiği bölgeden etkilendiği bildirilmiştir. [75][76][77] Çizgisel ROI kullanımının trabeküler yapıyı değerlendirmede yetersiz kaldığı, bu sebeple düzlemsel ROI seçimi yapılması gerektiği belirtilmiştir. 78 Yapılan bir çalışmada aynı hastaya ait periapikal ve panoramik radyograflardan elde edilen FB'lar karşılaştırıldığında, panoramik radyograflardan elde edilen FB değerlerinin daha düşük olduğu görülmüştür.…”

Section: Fraktal Analizin Limitasyonlarıunclassified

Fractal Analysis in Medicine and Dentistry

Güleç¹,

Taşsöker²,

Şener³

2019

EÜ Dişhek Fak Derg

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ÖzGeometrideki kare, daire, üçgen gibi bilindik ve basit şekillerle tanımlanamayan, farklı ölçeklerden incelendiğinde kendine benzeme özelliği gösteren karmaşık yapılara 'fraktal' denmektedir. Fraktal boyut arttıkça incelenen yapının karmaşıklığı artmaktadır. Fraktal analiz; kolay ulaşılabilir olması, projeksiyon geometrisi ve radyodensite gibi değişkenlerden etkilenmemesi ve trabeküler iç yapı hakkında objektif veriler sunması gibi özellikleriyle son dönemlerde kullanımı gittikçe artan bir yöntemdir. Diş hekimliğinde fraktal analiz kullanılarak; alveolar kemikte meydana gelen erken dönem periodontal değişiklerin saptanması, osteoporöza bağlı ortaya çıkan patolojilerin tanısı, implant bölgelerine komşu kemik dokunun değerlendirilmesi ve temporomandibular eklem disfonksiyonu bulunan hastalarda hastalığın şiddeti ile trabeküler kemik yapıdaki değişimlerin korelasyonunun incelendiği çok sayıda çalışma yapılmıştır. Benzer şekilde tıp alanında da mevcut hastalığın şiddeti ve ilerleyişi hakkında bilgi edinmede veya potansiyel bir hastalığın teşhisinde kullanılmaktadır. Bu çalışmanın amacı; fraktal analiz yönteminin tanımlanmasının yanı sıra tıpta ve diş hekimliğinde kullanım alanlarının sunulmasıdır.Anahtar sözcükler: fraktal analiz, fraktal boyut, tıp, diş hekimliği Abstract It is called 'fractal' which is a complex structure which can not be identified with simple shapes such as squares, circles, triangles in geometry, and shows its own resemblance when examined from different scales. As the fractal size increases, the complexity of the structure is increased. Fractal analysis is an increasingly common method because of its ease of accessibility, not being affected by variables such as projection geometry and radiodensity and providing objective data on the trabecular internal structure. Using fractal analysis in dentistry, a large number of studies have been conducted to determine the early periodontal changes in the alveolar bone, diagnose of osteoporosis-related pathologies, evaluate the bone tissue adjacent to the implant regions and determine the correlation of the severity of the disease of the trabecular bone structure in patients with temporomandibular joint dysfunction. Similarly, it is also used in medicine to learn about the severity and progress of the disease ortodiagnose a potential disease. The purpose of this study is to describe the method of fractal analysis as well as the areas of use in medicine and dentistry. EÜ Dişhek Fak Derg 2019; 40: 17-31 Güleç ve ark 2019 18 Resim 1: FB incelenen yapının karmaşıklığı hakkında fikir vermektedir. A, Düz bir çizgi ve Koch eğrisinin FB değerleri. B, Üçgen ve Sierpinski üçgeninin FB değerleri. DerlemeSánchez I, Uzcátegui G. Fractals in dentistry J Dent. 2011;39:273-292.Resim 2: Fraktal analiz yapılırken kullanılacak ilgi alanı (region of interest, ROI) seçilmesi.Resim 3: Fraktal analizin kutu sayma metoduna göre hesaplanmasında kullanılan basamaklar.

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“…The structure is characterized by a single number, the fractal dimension, which is calculated with a computer algorithm (13). FD is commonly used in non-standardized radiographs, to evaluate and quantify a cancellous bone structure for the detection of bone changes (20), apical healing (21), periapical bone (22), and systemic conditions such as osteoporosis (23,24). FD analysis uses a box-counting algorithm to quantify the trabecular bone pattern through counting the bone marrow and trabecular bone interface and also to access the trabecular and medullar bone boundary (25).…”

Section: Introductionmentioning

confidence: 99%

Correlation of Fractal Dimension with Histomorphometry in Maxillary Sinus Lifting Using Autogenous Bone Graft

et al. 2015

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The aim of this study was to determine the pattern of bone remodeling after maxillary sinus lifting in humans by means of fractal dimension (FD) and histomorphometric analysis. Therefore, the correlation between FD and the histomorphometric findings was evaluated. Sixteen patients with posterior edentulous maxilla were enrolled in this study. Maxillary sinus lifting was performed using autogenous bone grafted from the mandibular retromolar area. Three direct digital panoramic radiographs were obtained: before surgery (Group 1), immediately postoperatively (Group 2) and after 6 months of healing (Group 3) for FD analysis. Biopsies were taken after 6 months, processed and submitted to histological and histomorphometric analysis. Data were analyzed by Shapiro-Wilk test and ANOVA test followed by a Tukey test (a = 0.05). The bone volume fraction of newly trabecular bone (TB) and medullary area (MA) was measured as 62.75% ± 17.16% and 37.25 ± 17.16%, respectively. Significant difference in FD analysis was measured between Group 1 and Group 3. No significant difference was found in the correlation between FD and histomorphometric analysis for TB and MA (p = 0.84). In conclusion, all performed analyses were effective in assessing the bone-remodeling pattern in the maxillary sinus, offering complementary information about healing and predictable outcomes. There were no correlations between FD and histomorphometric analysis.

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Fractal Analysis of Periapical Bone from Lossy Compressed Radiographs: A Comparison of Two Lossy Compression Methods

Cited by 24 publications

References 27 publications

Effect of Image Resolution and Compression on Fractal Analysis of the Periapical Bone

Effect of Image Resolution and Compression on Fractal Analysis of the Periapical Bone

Fractal Analysis in Medicine and Dentistry

Correlation of Fractal Dimension with Histomorphometry in Maxillary Sinus Lifting Using Autogenous Bone Graft

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