Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 9, 2026

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy

Published on: January 12, 2022

Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map.

Raheleh Kafieh¹, Hossein Rabbani, Michael D Abramoff

¹Department of Physics and Biomedical Engineering, Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Medical Image Analysis

|July 11, 2013

Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Creation of a Standardized Myocardial Perfusion Single-photon Emission Computed Tomography Database to Enhance Coronary Artery Disease Research.

Journal of medical signals and sensors·2026

Same author

A population readout of extrastriate activity reveals biased and smoothed temporal representations across saccades.

bioRxiv : the preprint server for biology·2026

Same author

Neuroretinal Layer Thinning on OCT Imaging and Hemoglobin A1c in Youth With Type 1 Diabetes.

JAMA ophthalmology·2026

Same author

MMP9 Genotype and Systemic T-Cell Subsets Correlate With Structural and Functional Outcomes in Neovascular Age-Related Macular Degeneration.

Investigative ophthalmology & visual science·2026

Same author

Diabetic retinal disease cure accelerator: Modernizing staging and endpoints.

Progress in retinal and eye research·2026

Same author

Reference Standard for Validation of Age-Related Macular Degeneration Screening Algorithms.

Ophthalmology·2026

A novel diffusion map segmentation method enhances retinal imaging analysis using Optical Coherence Tomography (OCT). This technique accurately localizes internal retinal layers, showing robustness in challenging image conditions for glaucoma and normal patients.

Area of Science:

Ophthalmology
Medical Imaging
Computational Biology

Background:

Optical coherence tomography (OCT) is a key noninvasive retinal imaging modality.
Accurate segmentation of retinal layers is crucial for diagnosing and monitoring eye diseases.
Existing segmentation methods can struggle with low contrast or poor gradients in OCT images.

Purpose of the Study:

To introduce a fast and robust segmentation method for spectral domain OCT (SD-OCT) images.
To apply a novel variant of spectral graph theory, diffusion maps, for retinal layer segmentation.
To evaluate the method's performance on macular and optic nerve head images.

Main Methods:

A two-step diffusion mapping approach was developed for 2D and 3D OCT data.
The first step partitions image data into relevant and irrelevant sections using graph nodes based on pixel/voxel proximity and intensity differences.

Keywords:

Diffusion map Optical coherence tomography (OCT)Segmentation Spectral graph theory

More Related Videos

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Published on: September 22, 2017

In Vivo Vascular Injury Readouts in Mouse Retina to Promote Reproducibility

In Vivo Vascular Injury Readouts in Mouse Retina to Promote Reproducibility

Published on: April 21, 2022

Related Experiment Videos

Last Updated: May 9, 2026

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy

Published on: January 12, 2022

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo

Published on: September 22, 2017

In Vivo Vascular Injury Readouts in Mouse Retina to Promote Reproducibility

In Vivo Vascular Injury Readouts in Mouse Retina to Promote Reproducibility

Published on: April 21, 2022

The second step localizes internal retinal layers within the region of interest based on textural similarities.

Main Results:

The diffusion map method demonstrated robustness against low image contrast and poor layer gradients.
Segmentation accuracy was evaluated on 23 datasets from glaucoma and normal patient groups.
Mean unsigned border positioning errors were 8.52 ± 3.13 μm (2D) and 7.56 ± 2.95 μm (3D).

Conclusions:

The proposed diffusion map segmentation method offers a fast and reliable approach for retinal layer analysis in SD-OCT.
The technique shows potential for improved diagnostic capabilities in ophthalmology, particularly for conditions like glaucoma.
The method's reliance on regional texture rather than edge detection enhances its performance in challenging imaging scenarios.