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Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review

  • Muthu Rama Krishnan Mookiah*
  • , U. Rajendra Acharya
  • , Hamido Fujita
  • , Jen Hong Tan
  • , Chua Kuang Chua
  • , Sulatha V. Bhandary
  • , Augustinus Laude
  • , Louis Tong
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Diabetic Macular Edema (DME) is caused by accumulation of extracellular fluid from hyperpermeable capillaries within the macula. DME is one of the leading causes of blindness among Diabetes Mellitus (DM) patients. Early detection followed by laser photocoagulation can save the visual loss. This review discusses various imaging modalities viz. biomicroscopy, Fluorescein Angiography (FA), Optical Coherence Tomography (OCT) and colour fundus photographs used for diagnosis of DME. Various automated DME grading systems using retinal fundus images, associated retinal image processing techniques for fovea, exudate detection and segmentation are presented. We have also compared various imaging modalities and automated screening methods used for DME grading. The reviewed literature indicates that FA and OCT identify DME related changes accurately. FA is an invasive method, which uses fluorescein dye, and OCT is an expensive imaging method compared to fundus photographs. Moreover, using fundus images DME can be identified and automated. DME grading algorithms can be implemented for telescreening. Hence, fundus imaging based DME grading is more suitable and affordable method compared to biomicroscopy, FA, and OCT modalities.

Original languageEnglish
Pages (from-to)295-315
Number of pages21
JournalComputers in Biology and Medicine
Volume66
DOIs
Publication statusPublished - 01-11-2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Informatics

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