Blood flow estimation via numerical integration of temporal autocorrelation function in diffuse correlation spectroscopy

Seong, Myeongsu; Oh, Yoonho; Lee, Kijoon; Kim, Jae Gwan

doi:10.1016/j.cmpb.2022.106933

Cited by 7 publications

(2 citation statements)

References 37 publications

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“…Laser speckle imaging techniques have gained significant attention in the field of in-vivo blood flow measurements due to their non-invasive and real-time capabilities. [1][2][3][4][5][6][7][8][9][10] These techniques utilize the analysis of intensity fluctuations in laser speckle patterns to extract valuable information about blood flow dynamics. However, in order to develop and advance these imaging techniques, it is crucial to accurately simulate laser speckles under different experimental conditions.…”

Section: Introductionmentioning

confidence: 99%

A stochastic differential equation-based Monte Carlo simulation to model light propagation in dynamic turbid media

Sarkar,

K.,

Varma

2023

Diffuse Optical Spectroscopy and Imaging IX

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We present a novel approach that combines Monte Carlo simulations to propagate photons in a turbid media having the dynamics modelled using stochastic differential equations, resulting in simulating diffuse laser speckles for in-vivo blood flow imaging applications. The proposed method allows to model the tissue dynamics with a pre-defined probability density function and spatially varying autocorrelation.

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Section: Introductionmentioning

confidence: 99%

A stochastic differential equation-based Monte Carlo simulation to model light propagation in dynamic turbid media

Sarkar,

K.,

Varma

2023

Diffuse Optical Spectroscopy and Imaging IX

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“…This range can take many forms, from similarity in genome distance (Eisen at al. 1998; Ben‐Dor et al 1999; Meier‐Kolthoff et al, 2013; Ondov et al, 2016; Rowley and Corces, 2016), topological distance (Cheng et al, 2022; Li, Cheng, et al, 2022; Li, Huang, et al, 2022), spatial distance (Fisher et al 2007; Kretser et al 2008; Cao et al, 2022; Shragai et al, 2022; Roth and Mattes, 2023), or time (Li, Cheng, et al, 2022; Li, Huang, et al, 2022; Seong et al, 2022). The selection, and even definition, of a neighborhood is a complex and oft‐overlooked point.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variograms as Neighborhood Definers

Hurley,

Leslie

2023

Geographical Analysis

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Spatial neighborhood definitions are a consistent source of disagreement among geographic scholars. This research will focus on the implementation and evaluation of spatiotemporal variograms (STVs) as a source of spatial neighborhood definition. STVs show the similarity, measured by semivariance, of spatial events to each other when separated by time and space. Over both time and space, there should exist distances over which pairs of points become “independent” of one another. We seek seeks to answer two questions in relation to STVs and their use as neighborhood definitions: (1) What data and process adjustments are necessary to implement STVs to provide neighborhood search definitions in time and space, and (2) Given that there are many ways to define a neighborhood, STVs may provide a comprehensive method that uses the data themselves to inform the size and scope of neighborhoods, with the added advantage to evaluating both spatial and temporal axes at once. We demonstrate a well‐defined neighborhood that accounts for temporal variation as well as spatial and will be a needed addition as the tools incorporating simultaneous spatial and temporal neighborhoods are implemented.

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Comparison of numerical-integration-based methods for blood flow estimation in diffuse correlation spectroscopy

Seong

2023

Computer Methods and Programs in Biomedicine

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Blood flow estimation via numerical integration of temporal autocorrelation function in diffuse correlation spectroscopy

Cited by 7 publications

References 37 publications

A stochastic differential equation-based Monte Carlo simulation to model light propagation in dynamic turbid media

A stochastic differential equation-based Monte Carlo simulation to model light propagation in dynamic turbid media

Spatiotemporal Variograms as Neighborhood Definers

Comparison of numerical-integration-based methods for blood flow estimation in diffuse correlation spectroscopy

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