2019
DOI: 10.1142/s1793545819500068
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Enhancement of microvessel in laser speckle image using gaussian kernel template

Abstract: Laser speckle contrast imaging (LSCI) is an optical imaging method, which can monitor microvascular°ow variation directly without addition of any ectogenous dye. All the existing laser speckle contrast analysis (LASCA) methods are a combination of spatial and temporal statistics. In this study, we have proposed a new method, Gaussian kernel laser speckle contrast analysis (gLASCA), which processes the raw images primarily with the Gaussian kernel operator along the spatial direction of blood°ow. We explored th… Show more

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Cited by 5 publications
(3 citation statements)
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“…The CBF was calculated in Eq. 4 with the above sliding window, and the detailed algorithm was followed by our previous study and introduced earlier [ 32 ]: where was a calibration parameter, the speckle correlation decay time which was inversely related to . was the exposure time of the CCD camera.…”
Section: Methodsmentioning
confidence: 99%
“…The CBF was calculated in Eq. 4 with the above sliding window, and the detailed algorithm was followed by our previous study and introduced earlier [ 32 ]: where was a calibration parameter, the speckle correlation decay time which was inversely related to . was the exposure time of the CCD camera.…”
Section: Methodsmentioning
confidence: 99%
“…The CBF was calculated in Eq.5 with the above sliding window, and the detailed algorithm was followed by our previous study and introduced earlier 14 .…”
Section: Brain Blood Flow Observation Using Laser Speckle Contrast Imagingmentioning
confidence: 99%
“…For example, Sony et al enhanced signal-tonoise ratio (SNR) by anisotropic diffusion filtering, and then improved the speckle imaging speed sensitivity and temporal resolution [7]. Zhang et al adopted the line detector to optimize Gaussian matching filter in advance [8]. However, uncorrected scale and/or direction kernel may be obtained derived from the poor SNR, which failed to improve the visualization of blood vessels.…”
Section: Introductionmentioning
confidence: 99%