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Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Optic disc segmentation using the sliding band filter.

Behdad Dashtbozorg¹, Ana Maria Mendonça¹, Aurélio Campilho²

¹INEB - Instituto de Engenharia Biomédica, Universidade do Porto, Porto, Portugal; Faculdade de Engenharia, Universidade do Porto, Campus da FEUP, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.

Computers in Biology and Medicine

|December 3, 2014

Summary

This summary is machine-generated.

This study introduces an automatic optic disc (OD) segmentation method using a sliding band filter (SBF). The approach accurately identifies OD boundaries in retinal images, outperforming existing methods for health biomarker calculation.

Keywords:

Boundary extraction Optic disc segmentation Retinal images Segmentation evaluation Sliding band filter

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Area of Science:

Ophthalmology
Medical Imaging
Computer Vision

Background:

Optic disc (OD) center and boundary are crucial landmarks in retinal imaging.
Accurate OD segmentation is vital for calculating health biomarkers related to diabetes, hypertension, and cardiovascular diseases.

Purpose of the Study:

To present an automatic approach for optic disc (OD) segmentation.
To improve the accuracy and reliability of OD boundary detection in retinal images.

Main Methods:

Utilized a multiresolution sliding band filter (SBF) for OD segmentation.
Applied a low-resolution SBF for region of interest localization, followed by a high-resolution SBF for boundary estimation and regularization.

Main Results:

Achieved excellent and good performance across multiple public datasets (ONHSD, MESSIDOR, INSPIRE-AVR).
Demonstrated high average overlapping areas (83-89%) compared to manual delineations.
Outperformed recent optic disc segmentation approaches.

Conclusions:

The proposed OD segmentation method shows superior performance compared to existing approaches.
The method is robust and independent of variations in image characteristics like size, quality, and field of view.