Share Email Print
cover

Proceedings Paper

A model for quantifying contrast enhancement in optical coherence tomography (OCT)
Author(s): Yonatan Winetraub; Elliott SoRelle; Orly Liba; Adam de la Zerda
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We have developed a model to accurately quantify the signals produced by exogenous scattering agents used for contrast-enhanced Optical Coherence Tomography (OCT). This model predicts distinct concentration-dependent signal trends that arise from the underlying physics of coherence-based detection. Accordingly, we show that real scattering particles can be described as simplified ideal scatterers with modified scattering intensity and concentration. The relation between OCT signal and particle concentration is approximately linear at concentrations lower than 0.8 particles per imaging voxel. However, at higher concentrations, interference effects cause signal to increase with a square root dependence on the number of particles within a voxel. Finally, high particle concentrations cause enough light attenuation to saturate the detected signal. Predictions were validated by comparison with measured OCT signals from gold nanorods (GNRs) prepared in water at concentrations ranging over five orders of magnitude (50 fM to 5nM). In addition, we validated that our model accurately predicts the signal responses of GNRs in highly heterogeneous scattering environments including whole blood and living animals. By enabling particle quantification, this work provides a valuable tool for current and future contrast-enhanced in vivo OCT studies. More generally, the model described herein may be applied for detected signals in other modalities that rely on coherence-based detection or are susceptible to interference effects, most notably medical ultrasound. Thus, our model may enable quantitative interpretation of ultrasound contrast agents including gas-filled microbubbles.

Paper Details

Date Published: 21 February 2017
PDF: 7 pages
Proc. SPIE 10074, Quantitative Phase Imaging III, 100740J (21 February 2017); doi: 10.1117/12.2254498
Show Author Affiliations
Yonatan Winetraub, Stanford Univ. (United States)
Elliott SoRelle, Stanford Univ. (United States)
Orly Liba, Stanford Univ. (United States)
Adam de la Zerda, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 10074:
Quantitative Phase Imaging III
Gabriel Popescu; YongKeun Park, Editor(s)

© SPIE. Terms of Use
Back to Top