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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

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Split-spectrum amplitude-decorrelation angiography with optical coherence tomography.

Yali Jia¹, Ou Tan, Jason Tokayer

¹Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA.

|March 16, 2012

Summary

Split-spectrum amplitude-decorrelation angiography (SSADA) enhances optical coherence tomography (OCT) imaging by improving signal-to-noise ratio for flow detection. This novel method overcomes motion noise, revealing clearer microvascular networks in the human eye.

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Doppler Optical Coherence Tomography of Retinal Circulation

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Area of Science:

Ophthalmology
Biomedical Imaging
Optical Coherence Tomography

Background:

Amplitude decorrelation angiography is sensitive to transverse flow but susceptible to axial motion noise in OCT.
Existing phase-based methods like Doppler are affected by phase noise, limiting their utility.

Purpose of the Study:

To develop and validate a novel method, split-spectrum amplitude-decorrelation angiography (SSADA), to enhance signal-to-noise ratio (SNR) in OCT flow detection.
To overcome limitations of axial motion noise in high-resolution OCT imaging.

Main Methods:

The full optical coherence tomography (OCT) spectrum was divided into multiple narrower spectral bands.
Inter-B-scan decorrelation was calculated independently for each spectral band and then averaged.
The SSADA algorithm was applied to in vivo human retinal and optic nerve head images.

Main Results:

SSADA significantly improved the signal-to-noise ratio (SNR) for detecting blood flow compared to conventional amplitude-decorrelation algorithms.
The connectivity of the microvascular network in OCT images was enhanced using SSADA.
The method demonstrated robustness against pulsatile bulk motion noise.

Conclusions:

Split-spectrum amplitude-decorrelation angiography (SSADA) is an effective technique for improving OCT-based angiography.
SSADA enhances the visualization and analysis of microvascular structures in the human eye.
This method offers a significant advancement for OCT imaging in ophthalmology and beyond.