Non-linear model fitting to parameterize diseased blood vessels

Alexandra La Cruz, Miloš Šrámek, Matúš Strakat, Eduard Gröller, Arnold Köchl, Dominik Fleischmann

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

15 Citas (Scopus)


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 parameter optimization by a nonlinear optimization procedure, i.e., the Levenberg-Marquardt technique. The method provides center location, diameter and orientation of the vessel as well as blood and background mean density values. The method is tested on synthetic data and real patient data with encouraging results.

Idioma originalInglés
Título de la publicación alojadaIEEE Visualization 2004 - Proceedings, VIS 2004
EditoresH. Rushmeier, G. Turk, J.J. Wijk
Número de páginas8
EstadoPublicada - 2004
EventoIEEE Visualization 2004 - Proceedings, VIS 2004 - Austin, TX, Estados Unidos
Duración: 10 oct 200415 oct 2004

Serie de la publicación

NombreIEEE Visualization 2004 - Proceedings, VIS 2004


ConferenciaIEEE Visualization 2004 - Proceedings, VIS 2004
País/TerritorioEstados Unidos
CiudadAustin, TX


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