Clutter Mitigation in Echocardiography Using Sparse Signal Separation

In ultrasound imaging, clutter artifacts degrade images and may cause inaccurate diagnosis. In this paper, we apply a method called Morphological Component Analysis (MCA) for sparse signal separation with the objective of reducing such clutter artifacts. The MCA approach assumes that the two signals...

Descripción completa

Detalles Bibliográficos
Autores principales: Turek, Javier S., Elad, Michael, Yavneh, Irad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495184/
https://www.ncbi.nlm.nih.gov/pubmed/26199622
http://dx.doi.org/10.1155/2015/958963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495184/
https://www.ncbi.nlm.nih.gov/pubmed/26199622
http://dx.doi.org/10.1155/2015/958963

Ejemplares similares