Particle Image Velocimetry on the Flow Analysis of Stenosed Cardiovascular Structures
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.
Keywords: AXIAL VELOCITY; CARDIOVASCULAR STRUCTURES; FLOW IMAGING; PARTICLE IMAGES VELOCIMETRY; TIME-DEPENDENT FLOW SEPARATION
Document Type: Research Article
Publication date: 01 February 2019
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content