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Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis

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Abstract

For blood perfusion monitoring, laser speckle contrast (LSC) imaging is a recent non-contact technique that has the characteristic of delivering noise-like speckled images. To exploit LSC images for quantitative physiological measurements, we developed an approach that implements controlled spatial averaging to reduce the detrimental impact of the noise and improve measurement sensitivity. By this approach, spatial resolution and measurement sensitivity can be traded-off in a flexible way depending on the quantitative prospect of the study. As an application, detectability of the cardiac activity from LSC images of forearm using power spectrum analysis is studied through the construction of spatial activity maps offering a window on the blood flow perfusion and its regional distribution. Comparisons with results obtained with signals of laser Doppler flowmetry probes are performed.

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Authors and Affiliations

  1. Laboratoire d’Ingénierie des Systèmes Automatisés (LISA), Université d’Angers, 62 Avenue Notre Dame du Lac, 49000, Angers, France

    Stéphanie Bricq, Anne Humeau-Heurtier, François Chapeau-Blondeau & Julio Rojas Varela

  2. Groupe ESAIP, 18 rue du 8 mai 1945, BP 80022, 49180, St Barthélémy d’Anjou Cedex, France

    Stéphanie Bricq

  3. Laboratoire de Physiologie et d’Explorations Vasculaires, UMR CNRS 6214-INSERM U 1083, Centre Hospitalier Universitaire d’Angers, 49933, Angers Cedex 09, France

    Guillaume Mahé & Pierre Abraham

  4. Université de Lyon, CREATIS, CNRS, UMR 5220, INSERM, U630, Université de Lyon 1, INSA-Lyon, 69621, Villeurbanne, France

    David Rousseau

Authors
  1. Stéphanie Bricq
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  2. Guillaume Mahé
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  3. David Rousseau
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  4. Anne Humeau-Heurtier
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  5. François Chapeau-Blondeau
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  6. Julio Rojas Varela
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  7. Pierre Abraham
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Correspondence to Stéphanie Bricq.

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Bricq, S., Mahé, G., Rousseau, D. et al. Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis. Med Biol Eng Comput 50, 1017–1023 (2012). https://doi.org/10.1007/s11517-012-0919-3

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  • DOI: https://doi.org/10.1007/s11517-012-0919-3

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