Special Section on Optical Medical Imaging Standards

Modified multiscale sample entropy computation of laser speckle contrast images and comparison with the original multiscale entropy algorithm

[+] Author Affiliations
Anne Humeau-Heurtier

University of Angers, LARIS–Laboratoire Angevin de Recherche en Ingénierie des Systèmes, 62 avenue Notre-Dame du Lac, 49000 Angers, France

Guillaume Mahé

Pôle imagerie médicale et explorations fonctionnelles, Hospital Pontchaillou of Rennes, University of Rennes 1, 35033 Rennes Cedex 9, France

Inserm CIC 1414, 35033 Rennes cedex 9, France

Pierre Abraham

University of Angers, Hospital of Angers, Laboratoire de Physiologie et d Explorations Vasculaires UMR CNRS 6214-INSERM 1083, 49033 Angers cedex 01, France

J. Biomed. Opt. 20(12), 121302 (Jul 28, 2015). doi:10.1117/1.JBO.20.12.121302
History: Received November 18, 2014; Accepted January 22, 2015
Text Size: A A A

Abstract.  Laser speckle contrast imaging (LSCI) enables a noninvasive monitoring of microvascular perfusion. Some studies have proposed to extract information from LSCI data through their multiscale entropy (MSE). However, for reaching a large range of scales, the original MSE algorithm may require long recordings for reliability. Recently, a novel approach to compute MSE with shorter data sets has been proposed: the short-time MSE (sMSE). Our goal is to apply, for the first time, the sMSE algorithm in LSCI data and to compare results with those given by the original MSE. Moreover, we apply the original MSE algorithm on data of different lengths and compare results with those given by longer recordings. For this purpose, synthetic signals and 192 LSCI regions of interest (ROIs) of different sizes are processed. Our results show that the sMSE algorithm is valid to compute the MSE of LSCI data. Moreover, with time series shorter than those initially proposed, the sMSE and original MSE algorithms give results with no statistical difference from those of the original MSE algorithm with longer data sets. The minimal acceptable length depends on the ROI size. Comparisons of MSE from healthy and pathological subjects can be performed with shorter data sets than those proposed until now.

Figures in this Article
© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Anne Humeau-Heurtier ; Guillaume Mahé and Pierre Abraham
"Modified multiscale sample entropy computation of laser speckle contrast images and comparison with the original multiscale entropy algorithm", J. Biomed. Opt. 20(12), 121302 (Jul 28, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.12.121302


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.