Enhanced Particle-filtering Framework for Vessel Segmentation and Tracking

With the ongoing increase in life expectancy, cardio-vascular diseases have become the leading cause of death worldwide [1]. Therefore, there is an increasing demand for a method that can detect and track cardiac anomalies. Coronary artery anomaly detection considerably influences diagnoses because the coronary artery supplies blood to the heart muscle. Thus, the ability to segment the artery is essential for accurately detecting calcification or stenosis. However, the contrast of any coronary artery image is low in computed tomography/magnetic resonance imaging; thus, it is difficult to autonomously segment or track the vessel with high accuracy.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research