Fractal analysis of retinal vessel patterns in ophthalmically normal dogs

Kunicki, A; Araújo, Lidiane S.; Sá, Fabrício Bezerra de; Stošić, Borko; Barbosa, Catão T.F.; Nogueira, Rejane Jurema Mansur Custódio

doi:10.1111/j.1463-5224.2007.00589.x

Cited by 5 publications

(5 citation statements)

References 15 publications

(19 reference statements)

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“…Family et al (17) calculated the fractal dimension (D) of the vascular pattern of the human retina using mass radius (D = 1.71 ± 0.07) and correlation (D = 1.72 ± 0.03) methods, but did not observe a significant difference between them. Previous studies from our group have shown that the fractal dimension values depend on the method used for the calculation of the fractal structure (27,28). In the present study, we showed that box-counting and information fractal dimensions differ significantly in each region as well as in the whole retina.…”

Section: Discussionmentioning

confidence: 99%

Can the fractal dimension be applied for the early diagnosis of non-proliferative diabetic retinopathy?

Kunicki

Oliveira

Mendonca

et al. 2009

Braz J Med Biol Res

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Section: Discussionmentioning

confidence: 99%

Can the fractal dimension be applied for the early diagnosis of non-proliferative diabetic retinopathy?

Kunicki

Oliveira

Mendonca

et al. 2009

Braz J Med Biol Res

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“…Fractal analysis is not new in veterinary medicine. It has been used in horses to examine the microscopic appearance of cancellous bone where findings have compared with measurements of bone strength, such as Young's modulus 23 and in dogs to characterize micro‐fractures 24 and retinal blood vessels, 25 but it has not been used in the assessment of gross images in animals. In the limited application described here fractal analysis contributed little over and above a subjective qualitative analysis.…”

Section: Discussionmentioning

confidence: 99%

Determination of Fish Gender Using Fractal Analysis of Ultrasound Images

McEvoy

Tomkiewicz

Støttrup

et al. 2009

Vet Radiology Ultrasound

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The gender of cod Gadus morhua can be determined by considering the complexity in their gonadal ultrasonographic appearance. The fractal dimension (D(B)) can be used to describe this feature in images. B-mode gonadal ultrasound images in 32 cod, where gender was known, were collected. Fractal analysis was performed on these images and D(B) was determined using the box counting method. A receiver-operating curve (ROC) was drawn for D(B) as a test for male fish. Using a range of D(B) values, the maximum accuracy for this test was calculated and compared with the accuracy for identifying male fish by subjective analysis alone. The mean (and standard deviation) of the fractal dimension D(B) for male fish was 1.554 (0.073) while for female fish it was 1.468 (0.061); the difference was statistically significant (P = 0.001). The area under the ROC curve was 0.84 indicating the value of fractal analysis in gender determination in cod. Maximum accuracy (0.84) for D(B) as a test for male fish was obtained using the threshold value D(B) = 1.5058 compared with an accuracy of 0.78 for subjective image evaluation. The use of two thresholds, D(B) < 1.4475 (females) and D(B) > 1.5054 (males) gives an 80% certainty in the classification result. Fractal analysis is useful for gender determination in cod. This or a similar form of analysis may have wide application in veterinary imaging as a tool for quantification of complexity in images.

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“…For the selected year 2008, the Wiley online “Citing Literature” tool was used to identify the specific journals and textbooks that cited each VO article published that year. For example, the two citations of the first article published in VO in 2008 are listed at the bottom of the respective page on Wiley's website 17 …”

Section: Methodsmentioning

confidence: 99%

The 100 most‐cited articles published in the Veterinary Ophthalmology journal between 1998 and 2022: A bibliometric study

Arad

Pe’er

Ofri

2023

Veterinary Ophthalmology

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Purpose The aim of this study was to bibliometrically analyze the 100 most‐cited articles published in the Veterinary Ophthalmology (VO) journal. Methods Web of Science was searched for citations of VO articles published in 1998–2022. Tissue and species studied, and first and last author domicile and affiliation were recorded for the 100 most‐cited articles and descriptively analyzed. Results Altogether, the 100 most‐cited VO articles have cited a total of 5483 times. Most commonly, these were devoted to the cornea (23%), multiple tissues (19%), and glaucoma (16%). Studies on dogs (36%), horses (17%), and multiple species (15%) were most often cited. Most first/last authors were from the USA (n = 113), Brazil (n = 13), and France and Germany (n = 7 each), and most frequently affiliated with the University of Florida (n = 36), University of Wisconsin‐Madison (n = 15), and Animal Health Trust, North Carolina State University, and Ohio State University (n = 6 each). KN Gelatt (n = 9), DE Brooks (n = 6), and FJ Ollivier and EO MacKay (n = 5 each) were the most frequent first or last authors. The greatest number of citations was for articles with KN Gelatt (n = 555), FJ Ollivier (n = 411), and DE Brooks (n = 372) as first or last authors. “The comparative morphology of the tapetum lucidum” by FJ Ollivier et al. (2002) is the most frequently cited article in VO history (n = 178). Conclusions This study provides insight into the impact of publishing in VO and a more comprehensive understanding of trends and the most influential contributions to VO.

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Fractal analysis of retinal vessel patterns in ophthalmically normal dogs

Abstract: This methodology may be useful to differentiate between normal and pathologic states of canine retinal vascularization.

Cited by 5 publications

References 15 publications

Can the fractal dimension be applied for the early diagnosis of non-proliferative diabetic retinopathy?

Can the fractal dimension be applied for the early diagnosis of non-proliferative diabetic retinopathy?

Determination of Fish Gender Using Fractal Analysis of Ultrasound Images

The 100 most‐cited articles published in the Veterinary Ophthalmology journal between 1998 and 2022: A bibliometric study

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