Laser speckle imaging of flowing blood

A numerical study

Journal Article (2019)
Author(s)

K. Van As (TU Delft - ChemE/Transport Phenomena)

JW Boterman (Student TU Delft)

C.R. Kleijn (TU Delft - ChemE/Transport Phenomena, J.M. Burgers Centre for Fluid Mechanics)

S. Kenjeres (J.M. Burgers Centre for Fluid Mechanics, TU Delft - ChemE/Transport Phenomena)

N Bhattacharya (ImPhys/Acoustical Wavefield Imaging )

Research Group
ChemE/Transport Phenomena
Copyright
© 2019 K. van As, Jorne Boterman, C.R. Kleijn, S. Kenjeres, N. Bhattacharya
DOI related publication
https://doi.org/10.1103/PhysRevE.100.033317
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 K. van As, Jorne Boterman, C.R. Kleijn, S. Kenjeres, N. Bhattacharya
Research Group
ChemE/Transport Phenomena
Issue number
3
Volume number
100
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Abstract

Laser speckle imaging (LSI) can be used to study dynamic processes in turbid media, such as blood flow. However, it is presently still challenging to obtain meaningful quantitative information from speckle, mainly because speckle is the interferometric summation of multiply scattered light. Consequently, speckle represents a convolution of the local dynamics of the medium. In this paper, we present a computational model for simulating the LSI process, which we aim to use for improving our understanding of the underlying physics. Thereby reliable methods for extracting meaningful information from speckle can be developed. To validate our code, we apply it to a case study resembling blood flow: a cylindrical fluid flow geometry seeded with small spherical particles and modulated with a heartbeat signal. From the simulated speckle pattern, we successfully retrieve the main frequency modes of the original heartbeat signal. By comparing Poiseuille flow to plug flow, we show that speckle boiling causes a small amount of uniform spectral noise. Our results indicate that our computational model is capable of simulating LSI and will therefore be useful in future studies for further developing LSI as a quantitative imaging tool.