3-D localization of Diabetic Macular Edema using OCT thickness maps

Sohini Roychowdhury, Dara Koozekanani, Michael Reinsbach, Keshab K Parhi

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

5 Scopus citations

Abstract

This paper presents a novel automated system that segments 3-D thickness maps of sub-retinal layers from healthy and abnormal OCT image stacks with Diabetic Macular Edema (DME). These automated thickness maps are well correlated (r > 0.7) with the manually segmented thickness maps. The thickness maps demonstrate highly irregular regions in the inner and outer nuclear layers for patients with DME when compared to the healthy images. The combined area of irregularity in the inner and outer nuclear layers can thereby be extracted as a novel metric with correlation r = 0.99 to track the severity of DME. No other existing automated algorithm has extracted inner sub-retinal layer thickness maps from OCT image stacks of DME patients. The proposed system is fast and robust in locating the sub-retinal changes caused by DME in the 3-D sub-retinal micro-structure.

Original languageEnglish (US)
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4334-4337
Number of pages4
ISBN (Electronic)9781424492718
DOIs
StatePublished - Nov 4 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: Aug 25 2015Aug 29 2015

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2015-November
ISSN (Print)1557-170X

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/TerritoryItaly
CityMilan
Period8/25/158/29/15

Keywords

  • denoising
  • segmentation
  • thickness map

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