Iterative image reconstruction for sparse-view CT using normal-dose image induced total variation prior.
X-ray computed tomography (CT) iterative image reconstruction from sparse-view projection data has been an important research topic for radiation reduction in clinic. In this paper, to relieve the requirement of misalignment reduction operation of the prior image constrained compressed sensing (PICC...
Guardado en:
Autores principales: | Jing Huang, Yunwan Zhang, Jianhua Ma, Dong Zeng, Zhaoying Bian, Shanzhou Niu, Qianjin Feng, Zhengrong Liang, Wufan Chen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2013
|
Materias: | |
Acceso en línea: | https://doaj.org/article/568d4b82e8a44a7c92e80f2616e12294 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging
por: Yang Chen, et al.
Publicado: (2017) -
Comparison study of image quality at various radiation doses for CT venography using advanced modeled iterative reconstruction.
por: Jung Han Hwang, et al.
Publicado: (2021) -
Impact of dose reduction and iterative model reconstruction on multi-detector CT imaging of the brain in patients with suspected ischemic stroke
por: Karolin J. Paprottka, et al.
Publicado: (2021) -
Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction
por: Shipeng Xie, et al.
Publicado: (2018) -
Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method
por: Yapeng Wu, et al.
Publicado: (2021)