Automatic identification of coronary tree anatomy in coronary computed tomography angiography

An automatic coronary artery tree labeling algorithm is described to identify the anatomical segments of the extracted centerlines from coronary computed tomography angiography (CCTA) images. This method will facilitate the automatic lesion reporting and risk stratification of cardiovascular disease...

Descripción completa

Detalles Bibliográficos
Autores principales: Cao, Qing, Broersen, Alexander, de Graaf, Michiel A., Kitslaar, Pieter H., Yang, Guanyu, Scholte, Arthur J., Lelieveldt, Boudewijn P. F., Reiber, Johan H. C., Dijkstra, Jouke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2017
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677991/
https://www.ncbi.nlm.nih.gov/pubmed/28647774
http://dx.doi.org/10.1007/s10554-017-1169-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677991/
https://www.ncbi.nlm.nih.gov/pubmed/28647774
http://dx.doi.org/10.1007/s10554-017-1169-0

Ejemplares similares