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Updated: May 25, 2026

Using Retinal Imaging to Study Dementia
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Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Retinal imaging and image analysis.

Michael D Abràmoff1, Mona K Garvin, Milan Sonka

  • 1Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA 52242, USA.

IEEE Reviews in Biomedical Engineering
|January 26, 2012
PubMed
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This review covers retinal imaging and analysis for eye diseases like AMD, diabetic retinopathy, and glaucoma. It details 2D fundus and 3D OCT methods for diagnosis and screening.

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Retinal diseases, including age-related macular degeneration, diabetic retinopathy, and glaucoma, are leading causes of blindness.
  • The retina is a critical site for manifestations of both ocular and systemic diseases.
  • Effective diagnosis and management rely on advanced imaging and analysis techniques.

Purpose of the Study:

  • To review current retinal imaging and image analysis methods.
  • To discuss the clinical implications of these techniques for diagnosing and monitoring eye diseases.
  • To highlight the integration of image acquisition, analysis, and clinical relevance.

Main Methods:

  • Review of 2D fundus imaging techniques.
  • Overview of 3D optical coherence tomography (OCT) imaging.

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Last Updated: May 25, 2026

Using Retinal Imaging to Study Dementia
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Retinal Pathophysiological Evaluation in a Rat Model
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Published on: May 6, 2022

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
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  • Focus on quantitative analysis of fundus photographs and OCT scans.

    • Main Results:

    • Detailed assessment of retinal vasculature, lesion identification, and optic nerve head (ONH) morphology.
    • Methods for retinal atlas creation and automated population screening.
    • 3D OCT analysis for retinal layer segmentation, vasculature mapping, and exudate detection.

    Conclusions:

    • Retinal imaging and analysis are crucial for understanding and managing prevalent blinding eye diseases.
    • Quantitative and automated methods enhance diagnostic accuracy and screening efficiency.
    • The interplay between imaging, analysis, and clinical application is vital for patient care.