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Image processing and quantification analysis for optical coherence tomography angiography in epiretinal membrane.

Chun-Yao Cheng1, Chia-Chieh Hsiao2, Yi-Ting Hsieh3

  • 1National Taiwan University Hospital, Taipei, Taiwan.

Photodiagnosis and Photodynamic Therapy
|March 25, 2023
PubMed
Summary

Analyzing retinal vasculature in epiretinal membrane (ERM) patients reveals distinct impacts of capillaries and large vessels on vision. Advanced image processing techniques enhance these correlations, aiding in understanding ERM

Keywords:
Epiretinal membraneImage processingOptical coherence tomography angiographyVessel densityVessel tortuosity

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Retinal Vasculature Analysis

Background:

  • Epiretinal membrane (ERM) affects vision by altering retinal vasculature.
  • Optical coherence tomography angiography (OCTA) is a key imaging modality for ERM assessment.
  • Understanding ERM's impact requires detailed analysis of retinal vascular changes.

Purpose of the Study:

  • To investigate image processing methods for OCTA in ERM.
  • To evaluate the relationship between retinal vasculature and visual acuity in ERM patients.
  • To determine the influence of specific vascular layers (capillaries vs. large vessels) on vision.

Main Methods:

  • Retrospective analysis of OCTA scans from 30 ERM patients.
  • Application of image processing techniques: Mexican hat filter (MHF) and foveal avascular zone (FAZ) exclusion.
  • Measurement of vessel density (VD), fractal dimension (FD), and vessel tortuosity (VT) for different vascular layers.
  • Correlation analysis between OCTA parameters and best-corrected visual acuity (BCVA).

Main Results:

  • Capillary analysis significantly improved correlation with BCVA compared to whole vasculature analysis.
  • Higher capillary VD and FD correlated with better BCVA, enhanced by MHF (P < 0.0001).
  • Higher large vessel VD and FD correlated with poorer BCVA (P = 0.042, 0.049).
  • Capillary vessel tortuosity (VT) correlated with better BCVA, requiring MHF and FAZ exclusion (P = 0.028).

Conclusions:

  • Distinguishing between large vessels and capillaries is crucial for understanding ERM's effect on vision.
  • MHF is essential for accurate microvascular parameter assessment in capillaries.
  • FAZ exclusion is mandatory for reliable VT evaluation in ERM patients.