Cargando…
Low-Dose CT Image Post-Processing Based on Learn-Type Sparse Transform
As a detection method, X-ray Computed Tomography (CT) technology has the advantages of clear imaging, short detection time, and low detection cost. This makes it more widely used in clinical disease screening, detection, and disease tracking. This study exploits the ability of sparse representation...
Autores principales: | Zheng, Wenfeng, Yang, Bo, Xiao, Ye, Tian, Jiawei, Liu, Shan, Yin, Lirong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031828/ https://www.ncbi.nlm.nih.gov/pubmed/35458868 http://dx.doi.org/10.3390/s22082883 |
Ejemplares similares
-
Sparse Angle CBCT Reconstruction Based on Guided Image Filtering
por: Xu, Siyuan, et al.
Publicado: (2022) -
Improving Low-dose Cardiac CT Images based on 3D Sparse Representation
por: Shi, Luyao, et al.
Publicado: (2016) -
Ultra-Low-Dose Sparse-View Quantitative CT Liver Perfusion Imaging
por: Enjilela, Esmaeil, et al.
Publicado: (2017) -
Corrigendum: Improving Low-dose Cardiac CT Images based on 3D Sparse Representation
por: Shi, Luyao, et al.
Publicado: (2016) -
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications
por: Leuschner, Johannes, et al.
Publicado: (2021)