title: Optimization of camera exposure durations for multi-exposure speckle imaging of the microcirculation.
abstract: Improved Laser Speckle Contrast Imaging (LSCI) blood flow analyses that incorporate inverse models of the underlying laser-tissue interaction have been used to develop more quantitative implementations of speckle flowmetry such as Multi-Exposure Speckle Imaging (MESI). In this paper, we determine the optimal camera exposure durations required for obtaining flow information with comparable accuracy with the prevailing MESI implementation utilized in recent in vivo rodent studies. A looping leave-one-out (LOO) algorithm was used to identify exposure subsets which were analyzed for accuracy against flows obtained from analysis with the original full exposure set over 9 animals comprising n = 314 regional flow measurements. From the 15 original exposures, 6 exposures were found using the LOO process to provide comparable accuracy, defined as being no more than 10% deviant, with the original flow measurements. The optimal subset of exposures provides a basis set of camera durations for speckle flowmetry studies of the microcirculation and confers a two-fold faster acquisition rate and a 28% reduction in processing time without sacrificing accuracy. Additionally, the optimization process can be used to identify further reductions in the exposure subsets for tailoring imaging over less expansive flow distributions to enable even faster imaging.
authors: Department of Biomedical Engineering, The University of Texas at Austin, 107 W. Dean Keeton C0800, Austin, Texas. 78712, USA.
authors: S M Shams
authors: SM
authors: Kazmi
authors: Department of Biomedical Engineering, The University of Texas at Austin, 107 W. Dean Keeton C0800, Austin, Texas. 78712, USA.
authors: Satyajit
authors: S
authors: Balial
authors: Department of Biomedical Engineering, The University of Texas at Austin, 107 W. Dean Keeton C0800, Austin, Texas. 78712, USA.
authors: Andrew K
authors: AK
authors: Dunn
keywords: (110.6150) Speckle imaging; (170.0170) Medical optics and biotechnology