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Updated: Sep 15, 2025

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

Quantitative assessment of retinal attenuation and backscattering in OCT imaging using iterative layer-based

Yi Zhang¹, Zhaoyu Gong¹, Yaping Shi¹

¹Department of Bioengineering, University of Washington, Seattle, WA 98105, USA.

Biomedical Optics Express

|July 18, 2025

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This study introduces a new iterative method to accurately measure optical attenuation coefficient (OAC) in multilayered tissues like the retina using optical coherence tomography (OCT). The improved OAC enhances tissue characterization for better retinal imaging and disease assessment.

Area of Science:

Biomedical Optics
Medical Imaging
Ophthalmology

Background:

Optical coherence tomography (OCT) provides cross-sectional tissue images based on backscattered light.
Image contrast in OCT is affected by tissue optical properties, including scattering and illumination.
Existing optical attenuation coefficient (OAC) methods struggle with multilayered tissues due to inhomogeneous backscattering.

Purpose of the Study:

To develop an accurate layer-based iterative method for OAC quantification in multilayered tissues.
To improve OAC estimation by accounting for layer-specific backscattering fractions.
To enhance functional contrast in OCT imaging for better tissue characterization.

Main Methods:

Introduced a layer-based iterative approach to refine OAC calculations.

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Last Updated: Sep 15, 2025

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy

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Published on: January 12, 2022

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Employed an optimized depth-resolved framework with iterative adjustment of the residual light term.

Validated the method through mathematical derivation, numerical simulations, and clinical evaluation in healthy subjects.

Main Results:

The proposed method demonstrated improved accuracy in OAC quantification compared to existing techniques.
Mathematical and simulation results confirmed the method's convergence and accuracy.
Clinical evaluation showed enhanced tissue characterization in retinal imaging.

Conclusions:

The novel layer-based iterative method significantly improves OAC accuracy in multilayered tissues.
This advancement holds potential for more precise retinal imaging and disease assessment.
The technique offers a more robust approach to functional contrast in OCT.