Laser Speckle Contrast Imaging (LSCI) measurements provide sufficient information on the changes in the tissue dynamics using spatial contrast measurements over an integration time. To allow the adoption of LSCI in humans, we propose a fiber-based LSCI system that has the potential to overcome free-space imaging of Speckle Contrast Optical Tomography (SCOT) while maintaining the high-speed imaging of LSCI. Here, we propose Dynamic Speckle Model (DSM) to develop the noise model for fiber-based LSCI (fb-LSCI) taking into account all the noise sources. We have identified operating parameter space i.e. small speckle to pixel ratio and long exposure time to minimise the impact of noise sources on the contrast measured. The performance of fb-LSCI is compared with other methods that measure changes in tissue dynamics such as DCS.
Dynamic laser speckle imaging (DLSI) is an optical technique that directly measures the temporal speckle intensity fluctuations with sufficient temporal sampling to correctly model and predict the underlying blood flow changes. The speckle measurements are limited to superficial tissues and it lacks three-dimensional imaging of blood flow. To perform depth-resolved measurement, we developed Interferometric Dynamic Laser Speckle Imaging (iDLSI) capable of three-dimensional volumetric measurements of the dynamics. Here, we present the analytical expression for g2,iDLSI(τ) dependent on particle dynamics, coherence properties, sample, and reference intensity. The numerical validations are performed in a homogeneous and in spatially varying dynamic regions.
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