Extracting diagnostic information from optical coherence tomography images of diabetic retinal tissues using depthdependent attenuation rate and fractal analysis.

Delia Cabrera DeBuc, Wei Gao, Erika Tátrai, Lenke Laurik, Boglárka Varga, Vera Ölvedy, William E. Smiddy, Robert Tchitnga, Aniko Somogyib, Gabor M. Somfái

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The sensitivity of OCT images to sample diabetic morphology is tested by calculating attenuation coefficients and fractal dimension. Fractal analysis provided a better sensitivity, offering a potential diagnostic predictor for detecting early diabetic retinopathy.

Original languageEnglish (US)
Title of host publicationBiomedical Optics, BIOMED 2012
PagesBTu3A.74
StatePublished - Dec 1 2012
EventBiomedical Optics, BIOMED 2012 - Miami, FL, United States
Duration: Apr 28 2012May 2 2012

Publication series

NameBiomedical Optics, BIOMED 2012

Other

OtherBiomedical Optics, BIOMED 2012
CountryUnited States
CityMiami, FL
Period4/28/125/2/12

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ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

Cite this

DeBuc, D. C., Gao, W., Tátrai, E., Laurik, L., Varga, B., Ölvedy, V., Smiddy, W. E., Tchitnga, R., Somogyib, A., & Somfái, G. M. (2012). Extracting diagnostic information from optical coherence tomography images of diabetic retinal tissues using depthdependent attenuation rate and fractal analysis. In Biomedical Optics, BIOMED 2012 (pp. BTu3A.74). (Biomedical Optics, BIOMED 2012).