title: Dynamic laser speckle angiography achieved by eigen-decomposition filtering.
abstract: A new approach is proposed for statistically analysis of laser speckle signals emerged from a living biological tissue based on eigen-decomposition to separate the dynamic speckle signals due to moving blood cells from the static speckle signals due to static tissue components, upon which to achieve angiography of the interrogated tissue in vivo. The proposed approach is tested by imaging mouse ear pinna in vivo, demonstrating its capability of providing detailed microvascular networks with high contrast, and high temporal and spatial resolutions. It is expected to provide further opportunities for laser speckle imaging in the biomedical and clinical applications where microvascular response to certain stimulus or tissue injury is of interest.
authors.affiliation: Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA.|College of Precision Instrument and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China.
authors.forename: Chenxi
authors.initials: C
authors.lastname: Li
authors.affiliation: Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA.
authors.forename: Ruikang
authors.initials: R
authors.lastname: Wang
mesh_terms: D000792:Angiography / Q000379:methods*; D000818:Animals; D004423:Ear / Q000098:blood supply / Q000000981:diagnostic imaging; D007090:Image Interpretation, Computer-Assisted; D007834:Lasers; D051379:Mice; D055806:Microvessels / Q000000981:diagnostic imaging*
keywords: Laser speckle imaging; angiography; eigen-decomposition; statistical filtering