Análise fractal da vasculatura retínica: métodos de segmentação e de cálculo dimensional

Mendonça, Marcelo de Melo de Bezerra; Garcia, Carlos Alexandre de Amorim; Nogueira, Rejane Jurema Mansur Custódio; Gomes, M. A. F.; Valença, Marcelo Morais; Oréfice, Fernando

doi:10.1590/s0004-27492007000300006

Cited by 20 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, in techniques based on binary BC, the intensity information is lost and those corresponding to retinal vasculature are only contrasted from the background pixels. Grayscale FD in contrast, does not require image segmentation [ 36 ] and can be directly applied to gray-scale images. Disadvantage of image segmentation is that it may cause loss of vessel caliber information [ 18 ] and sometimes requires manual corrections for possible vessel discontinuities as a result of binarization process.…”

Section: Discussionmentioning

confidence: 99%

Relationship between diabetes and grayscale fractal dimensions of retinal vasculature in the Indian population

et al. 2014

View full text Add to dashboard Cite

BackgroundDiabetes mellitus is rapidly increasing in the Indian population. The purpose of this study was to identify changes in the retinal vasculature of diabetic people, ahead of visual impairments. Grayscale Fractal Dimension (FD) analysis of retinal images was performed on people with type 2 diabetes from an Indian population.MethodsA cross-sectional study comprising 189 Optic Disc (OD) centred retinal images of healthy and diabetic individuals aged 14 to 73 years was conducted. Grayscale Box Counting FD of these retinal photographs was measured without manual supervision. Statistical analysis was conducted to determine the difference in the FD between diabetic and healthy (non-diabetic) people.ResultsThe results show that grayscale FD values for diabetic cases are higher compared to controls, irrespective of the gender. It was also observed that FD was higher for male compared with females.ConclusionsThere is difference in the grayscale fractal dimension of retinal vasculature of diabetic patients and healthy subjects, even when there is no reported retinopathy.

show abstract

Section: Discussionmentioning

confidence: 99%

Relationship between diabetes and grayscale fractal dimensions of retinal vasculature in the Indian population

et al. 2014

View full text Add to dashboard Cite

show abstract

“…MacGillivray and Patton [ 15 ] reported that the segmentation threshold value significantly affected the FD. Mendonça et al [ 16 ] found that the FD was highly dependent on both vessel segmentation and FD calculation methods.…”

Section: Introductionmentioning

confidence: 99%

Reliability of Using Retinal Vascular Fractal Dimension as a Biomarker in the Diabetic Retinopathy Detection

Huang

Dashtbozorg

Zhang

et al. 2016

Journal of Ophthalmology

View full text Add to dashboard Cite

The retinal fractal dimension (FD) is a measure of vasculature branching pattern complexity. FD has been considered as a potential biomarker for the detection of several diseases like diabetes and hypertension. However, conflicting findings were found in the reported literature regarding the association between this biomarker and diseases. In this paper, we examine the stability of the FD measurement with respect to (1) different vessel annotations obtained from human observers, (2) automatic segmentation methods, (3) various regions of interest, (4) accuracy of vessel segmentation methods, and (5) different imaging modalities. Our results demonstrate that the relative errors for the measurement of FD are significant and FD varies considerably according to the image quality, modality, and the technique used for measuring it. Automated and semiautomated methods for the measurement of FD are not stable enough, which makes FD a deceptive biomarker in quantitative clinical applications.

show abstract

“…1). The Koch snowflake is a complex figure; it is not possible to map all its points, because every time you improve the resolution, new anfractuosities appear where before there was apparently only one line segment (Mendonca et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Fractal Analysis of Skeletal Muscle Tissue of Rats Subjected to Stretch Injury

et al. 2015

View full text Add to dashboard Cite

SUMMARY:The aim of this study was to analyze changes in the skeletal muscle tissue of rats after muscle stretch injury using fractal analysis. Nineteen rats were divided into three groups, Control (n= 5) (C), Lesion two days (n= 7) (L2), and Lesion seven days (n= 7) (L7). Histological slides of the gastrocnemius muscle of the animals were prepared and stained with Hematoxylin and eosin for analysis of the inflammatory process, and picrosirius for the demonstration of collagen. The stained slides were subsequently analyzed using Fractal Dimension (FD). The results showed high FD values of the inflammatory process in the experimental groups L2 and L7 in relation to C (p= 0.000). The analysis of collagen in the picrosirius stained slides showed high FD in the L2 group compared to the L7 (p= 0.0001), with no statistically significant difference among other groups. In summary, the present study demonstrated that fractal analysis was able to identify changes in the inflammatory process in injured skeletal muscle tissue.

show abstract

Análise fractal da vasculatura retínica: métodos de segmentação e de cálculo dimensional

Abstract: Estimation of retinal vessel fractal dimensions was dependent on both vascular segmentation and dimension calculation methods.

Cited by 20 publications

References 33 publications

Relationship between diabetes and grayscale fractal dimensions of retinal vasculature in the Indian population

Relationship between diabetes and grayscale fractal dimensions of retinal vasculature in the Indian population

Reliability of Using Retinal Vascular Fractal Dimension as a Biomarker in the Diabetic Retinopathy Detection

Fractal Analysis of Skeletal Muscle Tissue of Rats Subjected to Stretch Injury

Contact Info

Product

Resources

About