title: Microvascular blood flow monitoring with laser speckle contrast imaging using the generalized differences algorithm.
abstract: Laser speckle contrast imaging (LSCI) is a full-field optical technique to monitor microvascular blood flow with high spatial and temporal resolutions. It is used in many medical fields such as dermatology, vascular medicine, or neurosciences. However, LSCI leads to a large amount of data: image sampling frequency is often of several Hz and recordings usually last several minutes. Therefore, clinicians often perform regions of interest in which a spatial averaging of blood flow is performed and the result is followed with time. Unfortunately, this leads to a poor spatial resolution for the analyzed data. At the same time, a higher spatial resolution for the perfusion maps is wanted. To get over this dilemma we propose a new post-acquisition visual representation for LSCI perfusion data using the so-called generalized differences (GD) algorithm. From a stack of perfusion images, the procedure leads to a new single image with the same spatial resolution as the original images and this new image reflects perfusion changes. The algorithm is herein applied on simulated stacks of images and on experimental LSCI perfusion data acquired in three different situations with a commercialized laser speckle contrast imager. The results show that the GD algorithm provides a new way of visualizing LSCI perfusion data.
authors.affiliation: University of Angers, LARIS - Laboratoire Angevin de Recherche en Ingénierie des Systèmes, 62 Avenue Notre-Dame du Lac, 49000 Angers, France. Electronic address: anne.humeau@univ-angers.fr.
authors.forename: Anne
authors.initials: A
authors.lastname: Humeau-Heurtier
authors.affiliation: University of Rennes 1, CHU of Rennes, Pôle Imagerie Médicale et Explorations Fonctionnelles, 35033 Rennes Cedex 9, France; INSERM, CIC 1414 "Ischemia, Macro and Microcirculation" Group, 35033 Rennes Cedex 9, France.
authors.forename: Guillaume
authors.initials: G
authors.lastname: Mahé
authors.affiliation: University of Angers, CHU of Angers, Laboratoire de Physiologie et d'Explorations Vasculaires, UMR CNRS 6214-INSERM 1083, 49033 Angers Cedex 01, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Abraham
mesh_terms: D000465:Algorithms; D000818:Animals; D001783:Blood Flow Velocity; D001921:Brain / Q000098:blood supply*; D003287:Contrast Media / Q000737:chemistry; D006439:Hemodynamics; D006801:Humans; D007091:Image Processing, Computer-Assisted; D017078:Laser-Doppler Flowmetry / Q000379:methods*; D007834:Lasers; D051379:Mice; D008833:Microcirculation / Q000502:physiology*; D010477:Perfusion; D012039:Regional Blood Flow / Q000502:physiology; D015203:Reproducibility of Results; D012867:Skin / Q000098:blood supply*
chemical_list: D003287:Contrast Media
keywords: Blood flow; Image analysis; Laser speckle; Medical and biological imaging; Microcirculation