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O PTICAL FLOW BASED ANALYSIS OF LEUKOCYTE DYNAMICS IN MICROCIRCULATION

Tracking of leukocytes in vivo and recording their dynamics with intravital microscopy is an effective technique for further understanding of the mechanism of inflammation and the influence of drug delivery in microcirculation. Though the technique is well established, automated quantitative analysis of the captured video frames is lacking in the literature. In this paper we adopt a duality based TV-L1 optical flow to analyze leukocyte behavior using in vivo video microscopy. Typically, we exploit the ability of this approach to conserve discontinuities in the flow field through the regularization of the Total Variation (TV). On the other hand, the L1 norm overcomes the sensitivity to outliers. In the proposed framework, we submit the input images to a structure-texture decomposition in order to overcome the illumination changes causing violations in the optical flow constraint. Moreover, to further reduce the sensitivity to sampling artifacts in the image data, we apply a median filter into the numerical scheme. Using this technique, it is possible to directly compute the trajectories of leukocytes and their physical interaction parameters directly from the video frames. We have compared the obtained hydrodynamic fields with those obtained via simulation and have found that duality based TV-L1 optical flow approach is computationally less costly and reveals promising results.