Time-Space Fourier κFormula Filter for Motion Artifacts Compensation during Transcranial Fluorescence Brain Imaging

Abstract

Intravital imaging of brain vasculature through the intact cranium in vivo is based on the evolution of the fluorescence intensity and provides an ability to characterize various physiological processes in the natural context of cellular resolution. The involuntary motions of the examined subjects often limit in vivo non-invasive functional optical imaging. Conventional imaging diagnostic modalities encounter serious difficulties in correction of artificial motions, associated with the rapid structural variations and fast high dynamics of the intensity values in the collected image sequences, when a common reference cannot be provided. In current report, we introduce an alternative solution that utilizes a Fourier Kappa-Omega filtering approach. We demonstrate that the proposed approach is effective for image stabilization of fast dynamic image sequences. The validation of the Fourier Kappa-Omega filtering was performed on the images obtaining during mouse transcranial brain imaging using fluorescent microscope as well as on the simulated sequences of images. The proposed technique can be used autonomously without supervision and assignation of a reference image.