We present an optical coherence tomography (OCT) lymphangiography visualization approach based on analysis of speckle statistics. For <i>in-vivo</i> experimentation, normal and tumor tissues are examined in mouse dorsal skin window chamber model. In order to evaluate the speckle statistics, OCT datasets are acquired in 3 spatial and 1 temporal dimensions to be divided then into smaller volumes of interests. In temporal dimension, repeated same-location scanning is performed for simultaneous blood vessel detection through speckle variance processing. Speckle statistics in each volume of interest are tested for similarity to known distributions corresponding either to noise or to tissue. We show that lymphatic vessels could be detected using a specific parameter range of speckle statistics as a filter, to separate the surrounding tissues and blood vessels. The proposed approach does not require numerous post-processing steps that are often used in lymphatic detection methods that are based on low signal amplitude regions (e.g., OCT signal attenuation compensation, inversion, amplitude thresholding etc.). Instead, we use a fast 2-step filtering procedure to reveal lymphatic vessels in imaged tissues.
Collageneus tissues manifest strongly pronounced viscoelastic behavior. Namely, viscosity leads to time-dependence of
the deformation processes. This concerns both compression (loading) and unloading of the tissue. Both processes can be
characterized by a relaxation time - the time during which the strain changes e-times. We demonstrate the applicability
of the OCT-based 2D relaxography to characterize local relaxation time of collageneous tissues. The developed
technique can be used for further investigation of the viscoelastic properties of healthy and pathological collageneous
OCT-based local strain relaxation/creep evaluation is an emerging tool for tissue viscoelasticity characterization. We present a tool for 2D visualization of local strain relaxation and creep time/rate inside the tissue.