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Updated: Jun 1, 2026

Doppler Optical Coherence Tomography of Retinal Circulation
Published on: September 18, 2012
Principal-component-analysis-based estimation of blood flow velocities using optical coherence tomography intensity
Nishant Mohan1, Benjamin Vakoc
1Wellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, 40 Blossom Street, Boston, Massachusetts 02114, USA.
Abstract:
The intensity signal in optical coherence tomography contains information about the translational velocity of scatterers, and can be used to quantify blood flow. We apply principal component analysis to efficiently extract this information. We also study use of nonuniform temporal sampling of the intensity signal to increase the range of quantifiable flow velocities. We demonstrate this technique in simulation, phantom and in vivo blood flow measurements, and highlight its potential to enable three-dimensional wide-field mapping of blood flow using OCT.
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