Non-Linear Model Fitting to Parameterize Diseased Blood Vessels

Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. The objective of this research is to estimate the dimensions of lower extremity arteries, imaged by computed tomography (CT). These parameters are required to get a good quality visualization of healthy as well as diseased arteries using a visualization technique such as curved planar reformation (CPR). The vessel is modeled using an elliptical or cylindrical structure with specific dimensions, orientation and blood vessel mean density. The model separates two homogeneous regions: Its inner side represents a region of density for vessels, and its outer side a region for background. Taking into account the point spread function (PSF) of a CT scanner, a function is modeled with a Gaussian kernel, in order to smooth the vessel boundary in the model. A new strategy for vessel parameter estimation is presented. It stems from vessel model and model param...

• Type: Conference
• Year: 2004
• Where: VIS
• Authors: Alexandra La Cruz, Matús Straka, Arnold Köchl, Milos Srámek, Eduard Gröller, Dominik Fleischmann
• Keywords: Vessel Mean Density, Vessel Model, Vessel Parameter Estimation, VIS 2004, Visualization