title: Improvement of Speckle Contrast Image Processing by an Efficient Algorithm.
abstract: We demonstrate an efficient algorithm for the temporal and spatial based calculation of speckle contrast for the imaging of blood flow by laser speckle contrast analysis (LASCA). It reduces the numerical complexity of necessary calculations, facilitates a multi-core and many-core implementation of the speckle analysis and enables an independence of temporal or spatial resolution and SNR. The new algorithm was evaluated for both spatial and temporal based analysis of speckle patterns with different image sizes and amounts of recruited pixels as sequential, multi-core and many-core code.
authors.affiliation: RheinAhrCampus Remagen, University of Applied Sciences Koblenz, Remagen, Germany. steimers@rheinahrcampus.de.
authors.forename: A
authors.initials: A
authors.lastname: Steimers
authors.affiliation: RheinAhrCampus Remagen, University of Applied Sciences Koblenz, Remagen, Germany.
authors.forename: W
authors.initials: W
authors.lastname: Farnung
authors.affiliation: RheinAhrCampus Remagen, University of Applied Sciences Koblenz, Remagen, Germany.
authors.forename: M
authors.initials: M
authors.lastname: Kohl-Bareis
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*
keywords: Blood flow; Laser speckle contrast analysis; Parallel processing; Perfusion imaging; Speckle algorithm