Completion of Metal-Damaged Traces Based on Deep Learning in Sinogram Domain for Metal Artifacts Reduction in CT Images

In computed tomography (CT) images, the presence of metal artifacts leads to contaminated object structures. Theoretically, eliminating metal artifacts in the sinogram domain can correct projection deviation and provide reconstructed images that are more real. Contemporary methods that use deep netw...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Linlin, Han, Yu, Xi, Xiaoqi, Li, Lei, Yan, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708215/
https://www.ncbi.nlm.nih.gov/pubmed/34960258
http://dx.doi.org/10.3390/s21248164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708215/
https://www.ncbi.nlm.nih.gov/pubmed/34960258
http://dx.doi.org/10.3390/s21248164

Ejemplares similares