title: Retooling Laser Speckle Contrast Analysis Algorithm to Enhance Non-Invasive High Resolution Laser Speckle Functional Imaging of Cutaneous Microcirculation.
abstract: Cutaneous microvasculopathy complicates wound healing. Functional assessment of gated individual dermal microvessels is therefore of outstanding interest. Functional performance of laser speckle contrast imaging (LSCI) systems is compromised by motion artefacts. To address such weakness, post-processing of stacked images is reported. We report the first post-processing of binary raw data from a high-resolution LSCI camera. Sharp images of low-flowing microvessels were enabled by introducing inverse variance in conjunction with speckle contrast in Matlab-based program code. Extended moving window averaging enhanced signal-to-noise ratio. Functional quantitative study of blood flow kinetics was performed on single gated microvessels using a free hand tool. Based on detection of flow in low-flow microvessels, a new sharp contrast image was derived. Thus, this work presents the first distinct image with quantitative microperfusion data from gated human foot microvasculature. This versatile platform is applicable to study a wide range of tissue systems including fine vascular network in murine brain without craniotomy as well as that in the murine dorsal skin. Importantly, the algorithm reported herein is hardware agnostic and is capable of post-processing binary raw data from any camera source to improve the sensitivity of functional flow data above and beyond standard limits of the optical system.
authors.affiliation: Center for Regenerative Medicine &Cell-Based Therapies, Department of Surgery, Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
authors.forename: Surya C
authors.initials: SC
authors.lastname: Gnyawali
authors.affiliation: Center for Regenerative Medicine &Cell-Based Therapies, Department of Surgery, Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
authors.forename: Kevin
authors.initials: K
authors.lastname: Blum
authors.affiliation: Center for Regenerative Medicine &Cell-Based Therapies, Department of Surgery, Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
authors.forename: Durba
authors.initials: D
authors.lastname: Pal
authors.affiliation: Center for Regenerative Medicine &Cell-Based Therapies, Department of Surgery, Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
authors.forename: Subhadip
authors.initials: S
authors.lastname: Ghatak
authors.affiliation: Center for Regenerative Medicine &Cell-Based Therapies, Department of Surgery, Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
authors.forename: Savita
authors.initials: S
authors.lastname: Khanna
authors.affiliation: Center for Regenerative Medicine &Cell-Based Therapies, Department of Surgery, Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
authors.forename: Sashwati
authors.initials: S
authors.lastname: Roy
authors.affiliation: Center for Regenerative Medicine &Cell-Based Therapies, Department of Surgery, Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
authors.forename: Chandan K
authors.initials: CK
authors.lastname: Sen
mesh_terms: D000465:Algorithms; D001921:Brain / Q000098:blood supply* / Q000000981:diagnostic imaging; D005528:Foot / Q000098:blood supply* / Q000000981:diagnostic imaging; D018056:Hemorheology; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D007834:Lasers; D008297:Male; D008833:Microcirculation; D059629:Signal-To-Noise Ratio