Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage

G. M. Somfai, Erika Tátrai, Lenke Laurik, Boglárka E. Varga, Vera Ölvedy, William E. Smiddy, Robert Tchitnga, A. Somogyi, Delia C. DeBuc

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Background: The sensitivity of Optical Coherence Tomography (OCT) images to identify retinal tissue morphology characterized by early neural loss from normal healthy eyes is tested by calculating structural information and fractal dimension. OCT data from 74 healthy eyes and 43 eyes with type 1 diabetes mellitus with mild diabetic retinopathy (MDR) on biomicroscopy was analyzed using a custom-built algorithm (OCTRIMA) to measure locally the intraretinal layer thickness. A power spectrum method was used to calculate the fractal dimension in intraretinal regions of interest identified in the images. ANOVA followed by Newman-Keuls post-hoc analyses were used to test for differences between pathological and normal groups. A modified p value of

Original languageEnglish
Article number295
JournalBMC Bioinformatics
Volume15
Issue number1
DOIs
Publication statusPublished - Sep 1 2014

Fingerprint

Optical Coherence Tomography
Fractals
Optical tomography
Fractal dimension
Fractal Dimension
Fractal
Quantify
Damage
Tissue
Diabetes Mellitus
p-Value
Medical problems
Region of Interest
Analysis of variance (ANOVA)
Power spectrum
Power Spectrum
Diabetic Retinopathy
Type 1 Diabetes Mellitus
Calculate
Analysis of Variance

Keywords

  • Diabetic retinopathy
  • Fractal analysis
  • Fractal dimension
  • Ophthalmology
  • Optical coherence tomography
  • Wavelet algorithm

ASJC Scopus subject areas

  • Applied Mathematics
  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications

Cite this

Somfai, G. M., Tátrai, E., Laurik, L., Varga, B. E., Ölvedy, V., Smiddy, W. E., ... DeBuc, D. C. (2014). Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage. BMC Bioinformatics, 15(1), [295]. https://doi.org/10.1186/1471-2105-15-295

Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage. / Somfai, G. M.; Tátrai, Erika; Laurik, Lenke; Varga, Boglárka E.; Ölvedy, Vera; Smiddy, William E.; Tchitnga, Robert; Somogyi, A.; DeBuc, Delia C.

In: BMC Bioinformatics, Vol. 15, No. 1, 295, 01.09.2014.

Research output: Contribution to journalArticle

Somfai, GM, Tátrai, E, Laurik, L, Varga, BE, Ölvedy, V, Smiddy, WE, Tchitnga, R, Somogyi, A & DeBuc, DC 2014, 'Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage', BMC Bioinformatics, vol. 15, no. 1, 295. https://doi.org/10.1186/1471-2105-15-295
Somfai, G. M. ; Tátrai, Erika ; Laurik, Lenke ; Varga, Boglárka E. ; Ölvedy, Vera ; Smiddy, William E. ; Tchitnga, Robert ; Somogyi, A. ; DeBuc, Delia C. / Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage. In: BMC Bioinformatics. 2014 ; Vol. 15, No. 1.
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