Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage
| Autor: | Delia Cabrera DeBuc, Vera Ölvedy, Robert Tchitnga, Gabor Mark Somfai, Erika Tátrai, Lenke Laurik, William E. Smiddy, Boglárka Varga, Anikó Somogyi |
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| Rok vydání: | 2013 |
| Předmět: |
Adult
Male medicine.medical_specialty genetic structures Wavelet Analysis Biochemistry Fractal dimension Retina Fractal Optical coherence tomography Structural Biology Ophthalmology medicine Image Processing Computer-Assisted Fractal analysis Humans Computer vision Molecular Biology Mathematics Diabetic Retinopathy medicine.diagnostic_test Receiver operating characteristic business.industry Applied Mathematics Wavelet algorithm Diabetic retinopathy medicine.disease Confidence interval eye diseases Computer Science Applications Standard error Early Diagnosis Fractals ROC Curve Case-Control Studies Female Artificial intelligence sense organs business Algorithms Tomography Optical Coherence Research Article |
| Zdroj: | BMC Bioinformatics |
| ISSN: | 1471-2105 |
| Popis: | 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 Results Fractal dimension was higher for all the layers (except the GCL + IPL and INL) in MDR eyes compared to normal healthy eyes. When comparing MDR with normal healthy eyes, the highest AUROC values estimated for the fractal dimension were observed for GCL + IPL and INL. The maximum discrimination value for fractal dimension of 0.96 (standard error =0.025) for the GCL + IPL complex was obtained at a FD ≤ 1.66 (cut off point, asymptotic 95% Confidence Interval: lower-upper bound = 0.905-1.002). Moreover, the highest AUROC values estimated for the thickness measurements were observed for the OPL, GCL + IPL and OS. Particularly, when comparing MDR eyes with control healthy eyes, we found that the fractal dimension of the GCL + IPL complex was significantly better at diagnosing early DR, compared to the standard thickness measurement. Conclusions Our results suggest that the GCL + IPL complex, OPL and OS are more susceptible to initial damage when comparing MDR with control healthy eyes. Fractal analysis provided a better sensitivity, offering a potential diagnostic predictor for detecting early neurodegeneration in the retina. |
| Databáze: | OpenAIRE |
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