Semi-automated detection of aortic root in human heart MSCT images using nonlinear filtering and unsupervised clustering

Abstract: A semiautomatic technique to detect the aortic root in three-dimensional multi-slice computerised tomography images is proposed. Three steps are considered: conditioning, filtering, and detection. The conditioning is based on multi-planar reconstruction and it is required for reformatting...

Full description

Autores:

Valbuena, Oscar
Vera, Miguel Ángel
Del Mar, Atilio
Roa, Felida Andreina
Bravo, Antonio José

Tipo de recurso:

Fecha de publicación:

2021

Institución:

Universidad Simón Bolívar

Repositorio:

Repositorio Digital USB

Idioma:

eng

OAI Identifier:

oai:bonga.unisimon.edu.co:20.500.12442/8378

Acceso en línea:

https://hdl.handle.net/20.500.12442/8378
https://doi.org/10.1504/IJBET.2021.114811

Palabra clave:

Human heart
Aortic root
Multi-slice computerised tomography
MSCT
Segmentation
Similarity enhancement
Weighted median
Unsupervised clustering

Rights

embargoedAccess

License

Attribution-NonCommercial-NoDerivatives 4.0 Internacional