Automated Microaneurysm Counts on Ultrawide Field Color and Fluorescein Angiography Images

Abdulrahman Rageh1, Mohamed Ashraf1,2, Alan Fleming3

  • 1Beetham Eye Institute, Joslin Diabetes Centre, Boston, MA, USA.

Abstract

Insights

Automated microaneurysm (MA) counting on ultrawide field (UWF) images shows promise for diabetic retinopathy (DR) detection. While still developing, these techniques offer accurate and reproducible quantification, potentially aiding clinical practice.

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computational Pathology

Background:

  • Microaneurysms (MAs) are key indicators for diabetic retinopathy (DR) severity and progression.
  • Ultrawide field (UWF) imaging captures nearly the entire retina, offering a broader view.
  • Manual MA counting on UWF images is time-consuming and limits clinical utility.

Purpose of the Study:

  • To review current literature on automated microaneurysm counting techniques.
  • To assess the application of these techniques on UWF color images (CI) and fluorescein angiography (FA) images.

Main Methods:

  • Literature review of automated MA counting techniques.
  • Focus on techniques applied to UWF-CI and UWF-FA.

Main Results:

  • Automated MA counting on UWF images is in early development, with UWF-FA techniques more advanced.
  • Initial studies indicate high accuracy and reproducibility for automated MA counting.

Conclusions:

  • Automated MA counting on UWF images is a promising tool for DR detection and quantification, particularly in early stages.
  • Further large-scale studies are necessary to validate these techniques and assess their clinical impact compared to standard DR grading.

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