Work

Principal-component-analysis-based estimation of blood flow velocities using optical coherence tomography intensity signals

Year: 2011

Type: article

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.

Source: Optics Letters

DOI: 10.1364/ol.36.002068

Authors: Nishant Mohan, Benjamin Vakoc

Institutions: Harvard University, Massachusetts General Hospital

Language: English

Topic: Optical Coherence Tomography Applications

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

Awards: Image-Guided Laser Therapy for Barrett's Esophagus, G5895116664