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. | ||
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| 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. |
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