Cargando…
Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images
This paper describes an algorithm for extracting pulmonary vascular trees (arteries plus veins) from three-dimensional (3D) thoracic computed tomographic (CT) images. The algorithm integrates tube enhancement filter and traversal approaches which are based on eigenvalues and eigenvectors of a Hessia...
Autores principales: | Shikata, Hidenori, McLennan, Geoffrey, Hoffman, Eric A., Sonka, Milan |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2801012/ https://www.ncbi.nlm.nih.gov/pubmed/20052391 http://dx.doi.org/10.1155/2009/636240 |
Ejemplares similares
-
COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet
por: Saeedizadeh, Narges, et al.
Publicado: (2021) -
3D CT cinematic rendering of pediatric thoracic vascular anomalies
por: Recht, Hannah S., et al.
Publicado: (2023) -
4D Graph-Based Segmentation for Reproducible and Sensitive Choroid Quantification From Longitudinal OCT Scans
por: Oguz, Ipek, et al.
Publicado: (2016) -
Thoracic Imaging Findings of Collagen Vascular Diseases: A CT Study
por: Karam, Mehrdad Bakhshayesh, et al.
Publicado: (2014) -
Automated 3D segmentation and diameter measurement of the thoracic aorta on non-contrast enhanced CT
por: Sedghi Gamechi, Zahra, et al.
Publicado: (2019)