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Doppler Optical Coherence Tomography of Retinal Circulation

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

Volumetric Doppler angle correction for ultrahigh-resolution optical coherence Doppler tomography.

Jiang You¹, Ang Li¹, Congwu Du¹

¹Department of Biomedical Engineering, Stony Brook University , Stony Brook, New York 11794, USA.

Applied Physics Letters

|January 21, 2017

Summary

Ultrahigh-resolution optical coherence Doppler tomography (μODT) can now quantify blood flow in 3D microvascular networks. A novel Hessian matrix method accurately corrects Doppler angles for precise velocity measurements in complex vascular systems.

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Area of Science:

Biomedical optics
Medical imaging
Fluid dynamics

Background:

Ultrahigh-resolution optical coherence Doppler tomography (μODT) offers large field of view and capillary resolution for quantitative blood flow imaging.
Current μODT methods are limited to axial flow velocity detection and require Doppler angle correction for absolute velocity retrieval.
Existing Doppler angle tracking methods are insufficient for complex, entire 3D microvascular networks.

Purpose of the Study:

To develop and validate a novel method for accurate 3D Doppler angle correction in microvascular networks.
To enable quantitative absolute blood flow velocity mapping in complex 3D vascular structures.
To overcome the limitations of existing μODT techniques for comprehensive microvascular analysis.

Main Methods:

A voxel-based method utilizing eigenvalue analysis of the 3D Hessian matrix to determine vessel orientation.
Application of the method for tracking the Doppler angle matrix across entire 3D vascular networks.
Validation using simulation, flow phantom studies, and in vivo mouse cerebral blood flow (CBF) imaging.

Main Results:

The proposed method accurately retrieves vessel orientation for voxel-based Doppler angle tracking.
Successful correction of Doppler angles and restoration of absolute flow in simulated and phantom 3D vascular networks.
Demonstrated capability for tracking Doppler angles in highly complex in vivo mouse 3D CBF networks.

Conclusions:

The eigenvalue-based Hessian matrix analysis provides an effective solution for 3D Doppler angle correction in μODT.
This method enables accurate quantitative blood flow imaging in complex 3D microvascular networks.
The technique significantly advances the potential of μODT for detailed microcirculation studies.