Automatic estimation of the aortic lumen geometry by ellipse tracking

Purpose 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 algori...

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Veröffentlicht in:	International journal for computer assisted radiology and surgery Jg. 14; H. 2; S. 345 - 355
Hauptverfasser:	Tahoces, Pablo G., Alvarez, Luis, González, Esther, Cuenca, Carmelo, Trujillo, Agustín, Santana-Cedrés, Daniel, Esclarín, Julio, Gomez, Luis, Mazorra, Luis, Alemán-Flores, Miguel, Carreira, José M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.02.2019 Springer Nature B.V
Schlagworte:	Algorithms Aorta Aorta - diagnostic imaging Automation Computed tomography Computer Imaging Computer Science Contours Coronary vessels Cross-sections Diagnostic systems Feature extraction Geometry Health Informatics Humans Imaging Imaging, Three-Dimensional - methods Medicine Medicine & Public Health Optimization Optimization techniques Original Article Pattern Recognition and Graphics Pattern Recognition, Automated - methods Physicians Radiology Reproducibility of Results Segmentation Shape Surgery Tomography, X-Ray Computed - methods Tracking Vision Aorta CT images Cross section Centerline Ellipse tracking
ISSN:	1861-6410, 1861-6429, 1861-6429
Online-Zugang:	Volltext
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