Literature DB >> 23015182

Capillary Blood Flow Monitoring Using Laser Speckle Contrast Analysis (LASCA).

J D Briers, G Richards, X W He.   

Abstract

Coherent light scattered from an ensemble of moving scatterers produces a time-varying speckle pattern. The intensity fluctuations observed in a single speckle can be regarded either as a time-varying interference effect or as a Doppler beating effect. Techniques based on each of these approaches have been developed to analyze the fluctuations in an attempt to measure the velocities of the scatterers. Most of these methods measure the temporal statistics of the intensity fluctuations in a single speckle, i.e., at a single point. If a map of the velocity distribution is required, some form of scanning must be introduced. One way of avoiding the need to scan is to make use of the spatial statistics of time-integrated speckle. This is the basis of a technique, already described in the literature, called laser speckle contrast analysis (LASCA). In this article, we present a brief review of the theory linking the intensity fluctuations to the velocity and of the various techniques that have been proposed to measure them. We then describe the present configuration of our LASCA technique and describe some recent developments in our search for a real-time, noninvasive, full-field technique for visualizing capillary blood flow. © 1999 Society of Photo-Optical Instrumentation Engineers.

Year:  1999        PMID: 23015182     DOI: 10.1117/1.429903

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  38 in total

1.  Comparison of laser speckle and laser Doppler perfusion imaging: measurement in human skin and rabbit articular tissue.

Authors:  K R Forrester; C Stewart; J Tulip; C Leonard; R C Bray
Journal:  Med Biol Eng Comput       Date:  2002-11       Impact factor: 2.602

Review 2.  Review of laser speckle-based analysis in medical imaging.

Authors:  Kausik Basak; M Manjunatha; Pranab Kumar Dutta
Journal:  Med Biol Eng Comput       Date:  2012-04-04       Impact factor: 2.602

3.  High-speed multi-exposure laser speckle contrast imaging with a single-photon counting camera.

Authors:  Tanja Dragojević; Danilo Bronzi; Hari M Varma; Claudia P Valdes; Clara Castellvi; Federica Villa; Alberto Tosi; Carles Justicia; Franco Zappa; Turgut Durduran
Journal:  Biomed Opt Express       Date:  2015-07-14       Impact factor: 3.732

4.  Motion-contrast laser speckle imaging of microcirculation within tissue beds in vivo.

Authors:  Rong Liu; Jia Qin; Ruikang K Wang
Journal:  J Biomed Opt       Date:  2013-06       Impact factor: 3.170

5.  Impact of velocity distribution assumption on simplified laser speckle imaging equation.

Authors:  Julio C Ramirez-San-Juan; Ruben Ramos-García; Ileana Guizar-Iturbide; Gabriel Martínez-Niconoff; Bernard Choi
Journal:  Opt Express       Date:  2008-03-03       Impact factor: 3.894

6.  Quantitative laser speckle flowmetry of the in vivo microcirculation using sidestream dark field microscopy.

Authors:  Annemarie Nadort; Rutger G Woolthuis; Ton G van Leeuwen; Dirk J Faber
Journal:  Biomed Opt Express       Date:  2013-10-07       Impact factor: 3.732

7.  Integration of image exposure time into a modified laser speckle imaging method.

Authors:  J C Ramírez-San-Juan; Y C Huang; N Salazar-Hermenegildo; R Ramos-García; J Muñoz-Lopez; B Choi
Journal:  Phys Med Biol       Date:  2010-11-03       Impact factor: 3.609

8.  Magnetomotive laser speckle imaging.

Authors:  Jeehyun Kim; Junghwan Oh; Bernard Choi
Journal:  J Biomed Opt       Date:  2010 Jan-Feb       Impact factor: 3.170

9.  Methods to enhance laser speckle imaging of high-flow and low-flow vasculature.

Authors:  Bernard Choi; Tyson L Ringold; Jeehyun Kim
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 10.  Review of laser speckle contrast techniques for visualizing tissue perfusion.

Authors:  Matthijs Draijer; Erwin Hondebrink; Ton van Leeuwen; Wiendelt Steenbergen
Journal:  Lasers Med Sci       Date:  2008-12-03       Impact factor: 3.161

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