title: Multiple-cardiac-cycle noise reduction in dynamic optical coherence tomography of the embryonic heart and vasculature.
abstract: Recent progress in optical coherence tomography (OCT) allows imaging dynamic structures and fluid flow within scattering tissue, such as the beating heart and blood flow in mouse embryos. Accurate representation and analysis of these dynamic behaviors require reducing the noise of the acquired data. Although noise can be reduced by averaging multiple neighboring pixels in space or time, such operations reduce the effective spatial or temporal resolution that can be achieved. We have developed a computational postprocessing technique to restore image sequences of cyclically moving structures that preserves frame rate and spatial resolution. The signal-to-noise ratio (SNR) is improved by combining images from multiple cycles that have been synchronized with a temporally elastic registration procedure. Here we show how this technique can be applied to OCT images of the circulatory system in cultured mouse embryos. Our technique significantly improves the SNR while preserving temporal and spatial resolution.
authors: Department of Electrical and Computer Engineering, University of California, Santa Barbara, California 93106, USA.
authors: Sandeep
authors: S
authors: Bhat
authors: Irina V
authors: IV
authors: Larina
authors: Kirill V
authors: KV
authors: Larin
authors: Mary E
authors: ME
authors: Dickinson
authors: Michael
authors: M
authors: Liebling
mesh_terms: D000818:Animals; D004622:Embryo, Mammalian / Q000098:blood supply*; D006321:Heart / Q000196:embryology* / Q000502:physiology*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D051379:Mice; D009068:Movement; D010507:Periodicity; D041623:Tomography, Optical Coherence