Modelling and Extraction of Pulsatile Radial Distension and Compression Motion for Automatic Vessel Segmentation from Video

Identification of blood vessels from medical images is important to many clinical procedures. Common applications of vascular imaging range from routine non-invasive diagnostic procedures to complex surgical interventions. Vascular imaging is routinely used to assess the risk for cardiovascular morbidity by (i)  directly imaging and analyzing the coronary arteries with intravascular ultrasound (US), magnetic resonance (MR), or computed tomography (CT) imaging; (ii) quantifying arteriosclerosis from color images of the retina (Pedersen et al., 2000); (iii) segmenting atherosclerotic plaque from US (Bots et al., 1997), MR (Duivenvoorden et al., 2009), or CT images (Manniesing et al., 2010) of the common carotid artery (CCA); or (iv) monitoring changes in vascular distensibility from MR images of the aorta (Cavalcante et al., 2011) and CT angiography images of the CCA (Hameeteman et al., 20 13) – all of which have been identified as independent predictors of stroke (Hansson, 2005; Wong et al., 2001; Chambless et al., 2000; Laurent et al., 2003; Josephson et al., 2004).
Source: Medical Image Analysis - Category: Radiology Authors: Source Type: research