Choosing a model for laser speckle contrast
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Choosing a model for laser speckle contrast. / Liu, Chang; Kilic, Kivilcim; Erdener, Sefik Evren; Boas, David A.; Postnov, Dmitry D.
I: Biomedical Optics Express, Bind 12, Nr. 6, 426521, 2021.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Choosing a model for laser speckle contrast
AU - Liu, Chang
AU - Kilic, Kivilcim
AU - Erdener, Sefik Evren
AU - Boas, David A.
AU - Postnov, Dmitry D.
PY - 2021
Y1 - 2021
N2 - Laser speckle contrast imaging (LSCI) is a real-time full-field non-invasive technique, which is broadly applied to visualize blood flow in biomedical applications. In its foundation is the link between the speckle contrast and dynamics of light scattering particles-erythrocytes. The mathematical form describing this relationship, which is critical for accurate blood flow estimation, depends on the sample's light-scattering properties. However, in biological applications, these properties are often unknown, thus requiring assumptions to be made to perform LSCI analysis. Here, we review the most critical assumptions in the LSCI theory and simulate how they affect blood flow estimation accuracy. We show that the most commonly applied model can severely underestimate the flow change, particularly when imaging brain parenchyma or other capillary perfused tissue (e.g. skin) under ischemic conditions. Based on these observations and guided by the recent experimental results, we propose an alternative model that allows measuring blood flow changes with higher accuracy.
AB - Laser speckle contrast imaging (LSCI) is a real-time full-field non-invasive technique, which is broadly applied to visualize blood flow in biomedical applications. In its foundation is the link between the speckle contrast and dynamics of light scattering particles-erythrocytes. The mathematical form describing this relationship, which is critical for accurate blood flow estimation, depends on the sample's light-scattering properties. However, in biological applications, these properties are often unknown, thus requiring assumptions to be made to perform LSCI analysis. Here, we review the most critical assumptions in the LSCI theory and simulate how they affect blood flow estimation accuracy. We show that the most commonly applied model can severely underestimate the flow change, particularly when imaging brain parenchyma or other capillary perfused tissue (e.g. skin) under ischemic conditions. Based on these observations and guided by the recent experimental results, we propose an alternative model that allows measuring blood flow changes with higher accuracy.
KW - CEREBRAL-BLOOD-FLOW
KW - STROKE
KW - TIME
U2 - 10.1364/BOE.426521
DO - 10.1364/BOE.426521
M3 - Journal article
C2 - 34221679
VL - 12
JO - Biomedical Optics Express
JF - Biomedical Optics Express
SN - 2156-7085
IS - 6
M1 - 426521
ER -
ID: 272070213