Laser speckle contrast imaging accurately measures blood flow over moving skin surfaces |
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Authors: | Mahé Guillaume Rousseau Pascal Durand Sylvain Bricq Stephanie Leftheriotis Georges Abraham Pierre |
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Affiliation: | a Laboratory of Vascular Investigations, University Hospital of Angers, Franceb Department of Plastic Surgery, University Hospital of Angers, Francec Laboratory “Motricité, Interactions, Performance” EA 4334, University of Le Mans, Faculty of Sport Sciences, Le Mans, Franced Groupe ESAIP, Centre d'Études et de Recherche pour l'Aide à la Décision de l'ESAIP, Saint Barthélemy d'Anjou Cedex, Francee Biologie Neurovasculaire Intégrée (BNVI), Unité mixte UMR CNRS 6214/INSERM 771, Faculté de Médecine, Angers, France |
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Abstract: | Cutaneous blood flow (CBF) can be assessed non-invasively with lasers. Unfortunately, movement artefacts in the laser skin signal (LSsk) might sometimes compromise the interpretation of the data. To date, no method is available to remove movement artefacts point-by-point. Using a laser speckle contrast imager, we simultaneously recorded LSsk and the signal backscattered from an adjacent opaque surface (LSos). The completion of a first protocol allowed a definition of a simple equation to calculate the CBF from movement artefact-affected traces of LSsk and LSos. We then recorded LSsk and LSos before, during and for 5 min after the tourniquet ischemia, both when subjects (n = 8) were immobile or submitted to external passive movements of random intensity throughout the test. The typical post-occlusive reactive hyperemia trace was not identifiable within the LSsk recordings, with LSsk being 2 to 3 times higher during movements than in the immobile situation. After the calculation of CBF, traces in the immobile versus movement conditions were comparable, with the “r” cross-correlation coefficient being 0.930+/−0.010. Our method might facilitate future investigations in microvascular physiology and pathophysiology, specifically in subjects who have frequent or continuous involuntary movements. |
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Keywords: | Skin blood flow Microcirculation Imaging Physiology Methods |
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