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

      Author(s): , , ,
      Publication date Created:
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      Journal: Biomedical Optics Express
      Publisher: The Optical Society

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          Abstract

          We present integrated Laser Speckle Contrast Imaging (LSCI) and Sidestream Dark Field (SDF) flowmetry to provide real-time, non-invasive and quantitative measurements of speckle decorrelation times related to microcirculatory flow. Using a multi exposure acquisition scheme, precise speckle decorrelation times were obtained. Applying SDF-LSCI in vitro and in vivo allows direct comparison between speckle contrast decorrelation and flow velocities, while imaging the phantom and microcirculation architecture. This resulted in a novel analysis approach that distinguishes decorrelation due to flow from other additive decorrelation sources.

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          Dynamic imaging of cerebral blood flow using laser speckle.

          Henry Dunn, M. Moskowitz, H Bolay … (2001)
          A method for dynamic, high-resolution cerebral blood flow (CBF) imaging is presented in this article. By illuminating the cortex with laser light and imaging the resulting speckle pattern, relative CBF images with tens of microns spatial and millisecond temporal resolution are obtained. The regional CBF changes measured with the speckle technique are validated through direct comparison with conventional laser-Doppler measurements. Using this method, dynamic images of the relative CBF changes during focal cerebral ischemia and cortical spreading depression were obtained along with electrophysiologic recordings. Upon middle cerebral artery (MCA) occlusion, the speckle technique yielded high-resolution images of the residual CBF gradient encompassing the ischemic core, penumbra, oligemic, and normally perfused tissues over a 6 x 4 mm cortical area. Successive speckle images demonstrated a further decrease in residual CBF indicating an expansion of the ischemic zone with finely delineated borders. Dynamic CBF images during cortical spreading depression revealed a 2 to 3 mm area of increased CBF (160% to 250%) that propagated with a velocity of 2 to 3 mm/min. This technique is easy to implement and can be used to monitor the spatial and temporal evolution of CBF changes with high resolution in studies of cerebral pathophysiology.
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            Flow visualization by means of single-exposure speckle photography

            A.F. Fercher, J.D. Briers (1981)
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              Model for laser Doppler measurements of blood flow in tissue.

              R. Bonner, R Nossal (1981)
              A theory is developed which relates quasi-elastic light scattering measurements to blood flow in tissue micro-vasculature. We assume that the tissue matrix surrounding the blood cells is a strong diffuser of light and that moving erythrocytes, therefore, are illuminated by a spatially distributed source. Because the surrounding tissue is considered to be stationary, Doppler shifts in the frequency of the scattered light arise only from photon interactions with the moving blood cells. The theory implies that the time decay of the photon autocorrelation function scales proportionally with cell size and inversely with mean translational speed. Analysis of multiple interactions of photons with moving cells indicates the manner in which spectral measurements additionally are sensitive to changes in blood volume. Predictions are verified by measurements of particle flow in model tissues.
              Article 0 comments Cited 91 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Title: Biomedical Optics Express
                Abbreviated Title: Biomed. Opt. Express
                Publisher: The Optical Society
                ISSN (Print): 2156-7085
                ISSN (Electronic): 2156-7085
                Publication date Created: 2013
                Publication date Created: 2013
                Publication date (Electronic): October 07 2013
                Publication date (Print): November 01 2013
                Volume: 4
                Issue: 11
                Page: 2347
                Article
                DOI: 10.1364/BOE.4.002347
                PMC ID: 3829532
                PubMed ID: 24298399
                SO-VID: 53e0db99-3217-4457-80ea-3491c26025da
                Copyright © © 2013
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