Nano sensitive study and fractal analysis of segmented retinal layers in Fourier domain OCT: Promises for early disease detection

Nandan Das, Sean O'Gorman, Sergey Alexandrov, Rajib Dey, Jay Chhablani, Nirmalya Ghosh, Martin Leahy

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

1 Citation (Scopus)

Abstract

Initial study found that depth-resolved refractive index variations encoded in retinal optical coherence tomography (OCT) exhibits multifractality. Interestingly, automated segmented different layers of the retina exhibited different degree of multifractality in a human eye. In an advanced study, we have adopted nano sensitive study of spectral contents of OCT signals before retinal image construction of a human eye. We have identified and constructed most contributed submicron structural spatial period OCT images. We have quantified nano structural morphological alteration in human retinal layers as deformation progress. This innovative approach promises to develop nano sensitive diagnostic tool for early disease detection in the human eye.

Original languageEnglish
Title of host publicationOphthalmic Technologies XXIX
EditorsFabrice Manns, Per G. Soderberg, Arthur Ho
PublisherSPIE
ISBN (Electronic)9781510623583
DOIs
Publication statusPublished - 2019
Event29th Conference on Ophthalmic Technologies - San Francisco, United States
Duration: 2 Feb 20193 Feb 2019

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10858
ISSN (Print)1605-7422

Conference

Conference29th Conference on Ophthalmic Technologies
Country/TerritoryUnited States
CitySan Francisco
Period2/02/193/02/19

Keywords

  • Automated image segmentation
  • Early disease detection
  • Fractal Analysis
  • Nano sensitivity
  • Ophthalmology
  • Retinopathy.

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