Exploration of Inaccessible Fibrins in SEM of RBC using Fractal based Modified Segregation Scoring Approach
Parvatham Vijay · 2024
Deep vein thrombosis (DVT) can be very serious because blood clots in veins can break loose, travel through our bloodstream and lodge in our lungs, blocking blood flow. Aim of this paper is to analyse the depth of blood coagulation and fibrin structure in veins using the proposed MF-DAS method. Using SEM for RBC blood coagulated specimens as the base image, both DVT -patients and normal people images were taken, and the MF-DAS images were obtained, exploring deeper fibrins unexplored by the original SEM images nor by their segmented counterparts, which clearly delineated the fibrins from the rest. The Box counting algorithm is used to find the slope of the SEM images. If the slope value is closer to dimension 2 are called as unaffected images. Or else, if there is more deviation, then the images are blood clot images. The proposed algorithm is used for finding the deep analysis of thrombosis images.