In this paper, we present Particle images velocimetry (PIV), based on digital scanning of illuminated fluid suspended microscopic glass seeds, together with flow fields generated by a cross-correlation technique and a standard motion estimation algorithm. Flow information calculated
by both methods are presented. The experiments carried out here demonstrate the capability of flow in estimating parametric motion field using particle images. However, there is a need to have a comparison technique that detects the deviation of the flow fields based on the different computational
modelling schemes to determine its accuracy. The study carried out by us adequately covers the different computational aspects of particle image velocimetry and presents the fundamental tools for post-processing and analysing cardiovascular structures effectively and efficiently.