Affiliation:
1. Indian Institute of Technology – Bombay
Abstract
Laser speckle-based blood flow imaging is a well-accepted and widely
used method for pre-clinical and clinical applications. Although it
was introduced as a method to measure only superficial blood flow
(< 1mm depth), several recently introduced variants resulted in
measuring deep tissue blood flow (a few cm) as well. A means of
simulating laser speckles is often necessary for the analysis and
development of these imaging modalities, as evident from many such
attempts towards developing simulation tools in the past. Such methods
often employ Fourier transforms or statistical tools to simulate
speckles with desired statistical properties. We present the first
method to use a stochastic differential equation to generate laser
speckles with a pre-determined probability density function and a
temporal auto-correlation. The method allows the choice of apriori
gamma distribution along with simple exponential or more complex
temporal auto-correlation statistics for simulated speckles, making it
suitable for different blood flow profiles. In contrast to the
existing methods that often generate speckles associated with
superficial flow, we simulate both superficial and diffuse speckles
leading to applications in deep tissue blood flow imaging. In
addition, we have also incorporated appropriate models for noise
associated with the detectors to simulate realistic speckles. We have
validated our model by comparing the simulated speckles with those
obtained from in-vivo studies in mice and healthy
human subject.
Funder
Science and Engineering Research
Board
Department of Biotechnology, Ministry of
Science and Technology, India
Indian Institute of Technology
Bombay
Subject
Atomic and Molecular Physics, and Optics,Biotechnology
Cited by
2 articles.
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