Automated Computational Diagnosis of Peripheral Retinal Pathology in Optical Coherence Tomography (OCT) Scans using Graph Theory

Tyra Lange, Stewart Lake, Karen Reynolds, Murk Bottema

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Analysis of retinal shape with optical coherence tomography (OCT) has been valuable in describing different ophthalmic conditions. An effective method for retinal contour delineation is graph theory. This study compares the ability of two different implementations of graph theory, the Livewire (LVW) intelligent scissors developed for ImageJ and a purpose-built graph searching function (GSF), to determine retinal shape for a retinal disease classifier. Both methods require user interaction. Retinal shape features derived from both methods were used to diagnose eyes with posterior vitreous detachment (PVD) or retinal detachment (RD) via quadratic discriminant analysis. Classification with each method was the same in 49 out of 51 eyes. Processing time was faster with the GSF than LVW. In mean (µ) ± standard deviation (SD), GSF took 524 ± 62 s and LVW took 814 ± 223 s (p = 5.52 x 10-14). Conclusively, GSF was easier to use and is preferred for further retinal shape analysis.

Original languageEnglish
Title of host publication2020 Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2020
Place of PublicationMelbourne, Australia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages3
ISBN (Electronic)9781728191089
ISBN (Print)9781728191096
DOIs
Publication statusPublished - 29 Nov 2020
Event2020 Digital Image Computing: Techniques and Applications, DICTA 2020 - Melbourne, Australia
Duration: 29 Nov 20202 Dec 2020

Publication series

Name2020 Digital Image Computing: Techniques and Applications, DICTA 2020

Conference

Conference2020 Digital Image Computing: Techniques and Applications, DICTA 2020
Country/TerritoryAustralia
CityMelbourne
Period29/11/202/12/20

Keywords

  • computational diagnosis
  • graph theory
  • Optical coherence tomography (OCT)
  • retinal pathology

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