Histogram analysis of laser speckle contrast image for cerebral blood flow monitoring

Laser speckle contrast imaging (LSCI) is a powerful tool for blood flow mapping. In this paper, we described a simple algorithm based on histogram analysis of laser speckle contrast image to provide rapid differentiation between macro- and microcirculations. The algorithm was successfully verified b...

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Bibliographic Details
Published inFrontiers of Optoelectronics (Online) Vol. 8; no. 2; pp. 187 - 194
Main Authors ABDURASHITOV, Arkady S., LYCHAGOV, Vladislav V., SINDEEVA, Olga A., SEMYACHKINA-GLUSHKOVSKAYA, Oxana V., TUCHIN, Valery V.
Format Journal Article
LanguageEnglish
Published Beijing Higher Education Press 01.06.2015
Subjects
Biomedical Engineering and Bioengineering
cerebral blood flow (CBF)
Electrical Engineering
Engineering
histogram analysis
laser speckle contrast imaging (LSCI)
Physics
rat
Research Article
大脑皮质
对比度
微循环
散斑图像
激光散斑
直方图分析
简单算法
血流量
cerebral blood flow (CBF)
histogram analysis
rat
laser speckle contrast imaging (LSCI)
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Summary:Laser speckle contrast imaging (LSCI) is a powerful tool for blood flow mapping. In this paper, we described a simple algorithm based on histogram analysis of laser speckle contrast image to provide rapid differentiation between macro- and microcirculations. The algorithm was successfully verified by the study of blood flow in rat cortex under functional activation.
Bibliography:Laser speckle contrast imaging （LSCI） is a powerful tool for blood flow mapping. In this paper, we described a simple algorithm based on histogram analysis of laser speckle contrast image to provide rapid differentiation between macro- and microcirculations. The algorithm was successfully verified by the study of blood flow in rat cortex under functional activation.
laser speckle contrast imaging （LSCI）, histo-gram analysis, cerebral blood flow （CBF）, rat
11-5738/TN
cerebral blood flow (CBF)
histogram analysis
Document accepted on :2014-12-24
rat
laser speckle contrast imaging (LSCI)
Document received on :2014-11-20
ISSN:2095-2759
2095-2767
DOI:10.1007/s12200-015-0493-z