@article{Tahoces2018,
author = "Pablo G. Tahoces and Luis Alvarez and   and Carmelo Cuenca Hern{\'a}ndez and Agust{\'i}n Trujillo Pino and Daniel Santana Cedr{\'e}s and   and Luis G{\'o}mez D{\'e}niz and   and   and Jos{\'e} M. Carreira",
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.",
day = "22",
doi = "10.1007/s11548-018-1861-0",
issn = "1861-6429",
journal = "International Journal of Computer Assisted Radiology and Surgery",
month = "Sep",
title = "{A}utomatic estimation of the aortic lumen geometry by ellipse tracking",
url = "https://doi.org/10.1007/s11548-018-1861-0",
year = "2018",
}