Cargando…
NUFFT-Based Iterative Image Reconstruction via Alternating Direction Total Variation Minimization for Sparse-View CT
Sparse-view imaging is a promising scanning method which can reduce the radiation dose in X-ray computed tomography (CT). Reconstruction algorithm for sparse-view imaging system is of significant importance. The adoption of the spatial iterative algorithm for CT image reconstruction has a low operat...
Autores principales: | Yan, Bin, Jin, Zhao, Zhang, Hanming, Li, Lei, Cai, Ailong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450291/ https://www.ncbi.nlm.nih.gov/pubmed/26120355 http://dx.doi.org/10.1155/2015/691021 |
Ejemplares similares
-
Constrained Total Generalized p-Variation Minimization for Few-View X-Ray Computed Tomography Image Reconstruction
por: Zhang, Hanming, et al.
Publicado: (2016) -
Iterative Image Reconstruction for Sparse-View CT Using Normal-Dose Image Induced Total Variation Prior
por: Huang, Jing, et al.
Publicado: (2013) -
Distributed Reconstruction via Alternating Direction Method
por: Wang, Linyuan, et al.
Publicado: (2013) -
An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction
por: Hu, Zhanli, et al.
Publicado: (2017) -
Sparse CT reconstruction based on multi-direction anisotropic total variation (MDATV)
por: Li, Hongxiao, et al.
Publicado: (2014)