Abstract
Blood vessel visualization aims to find structures related to microvasculature within the biological tissue and has been applied to diagnose and treat vascular diseases based on vessel size in ophthalmology, dermatology, and neuroscience, among others. Laser Speckle Contrast Imaging (LSCI) is a technique developed to estimate the relative blood flow speed and to improve blood vessel visualization. However, the highly scattering of the surrounding tissue hinders the blood vessel visualization and introduces an intense noise level proportional to the depth of the blood vessel perceived as spatial variations in the image; under these conditions, standard LSCI is limited. In this work, in order to calculate speckle contrast, we applied adaptive processing to raw speckle images acquired from a skin phantom varying the exposure time and blood vessel depth. Experimental results show that it is possible to improve the quality of CIs through adaptive processing for superficial and deep blood vessels.
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