Detection of Red Blood Cell Aggregation Regions by Feature Point Extraction and Size Estimation by Clustering

In this study, we propose an optical method for noninvasive and quantitative measurement of blood viscosity in extracorporeal circulatory device. Using self-made simulated blood images, we investigated a method to detect aggregation regions by extracting feature points. Then, we investigated the estimation of aggregation number and aggregation diameter using clustering. As a result, it is possible to detect aggregations and discriminate the number of aggregations and their size.