Automatic estimation of the aortic lumen geometry by ellipse tracking

Authors: Tahoces, Pablo G.; Alvarez, Luis; González, Esther; Cuenca Hernández, Carmelo; Trujillo Pino, Agustín; Santana Cedrés, Daniel; Esclarín, Julio; Gómez Déniz, Luis; Mazorra, Luis; Alemán-Flores, Miguel; Carreira, José M.
Line of Research: Uncategorized
Year: 2018
Type of Publication: Article
Journal: International Journal of Computer Assisted Radiology and Surgery
Month: September
ISSN: 1861-6429
Abstract:
The shape and size of the aortic lumen can be associated with several aortic diseases. Automated computer segmentation can provide a mechanism for extracting the main features of the aorta that may be used as a diagnostic aid for physicians. This article presents a new fully automated algorithm to extract the aorta geometry for either normal (with and without contrast) or abnormal computed tomography (CT) cases.