2019
DOI: 10.1016/j.mvr.2018.11.001
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Application of optical flow algorithms to laser speckle imaging

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Cited by 25 publications
(25 citation statements)
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“…Laser speckle imaging has become a useful tool for brain blood flow applications as the images it produces contain functional information (i.e. relative blood velocity) in addition to showing structure of the vessel networks 13,66,67 . As we previously reported, exposure time of 6 ms gave the highest SNR for imaging through WttB implant using our optical setup 24 .…”
Section: Discussionmentioning
confidence: 99%
“…Laser speckle imaging has become a useful tool for brain blood flow applications as the images it produces contain functional information (i.e. relative blood velocity) in addition to showing structure of the vessel networks 13,66,67 . As we previously reported, exposure time of 6 ms gave the highest SNR for imaging through WttB implant using our optical setup 24 .…”
Section: Discussionmentioning
confidence: 99%
“…As soon as the speckle display is produced on a motion particle, for example, red blood cells, the motion of the blood in the vessels results in variations in the speckle display on the sensor. 11 In the LSCI technique, the motion of blood triggers haziness of image contrast, which results in gleaming of the intensity. The result is an instant image of the microcirculation.…”
Section: The Principles Of Lscimentioning
confidence: 99%
“…Brain tissue was modeled as a single compartment. We assumed that blood vessels are distributed randomly, following a uniform distribution, throughout the brain tissue [8][9][10][11]. The inner sphere, which represents the ventricular system, includes the CP.…”
Section: Model Developmentmentioning
confidence: 99%
“…) . = (9) We used large values for and due to the negligible permeability barrier of the contact surfaces to sodium. Thus, the ISF sodium concentration is approximately in equilibrium with ventricular and subarachnoid sodium concentrations at the interface of brain tissue and CSF.…”
Section: Formulation Of the Modelmentioning
confidence: 99%