Cargando…
Joint sparse reconstruction of multi-contrast MRI images with graph based redundant wavelet transform
BACKGROUND: Multi-contrast images in magnetic resonance imaging (MRI) provide abundant contrast information reflecting the characteristics of the internal tissues of human bodies, and thus have been widely utilized in clinical diagnosis. However, long acquisition time limits the application of multi...
Autores principales: | Lai, Zongying, Zhang, Xinlin, Guo, Di, Du, Xiaofeng, Yang, Yonggui, Guo, Gang, Chen, Zhong, Qu, Xiaobo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5934877/ https://www.ncbi.nlm.nih.gov/pubmed/29724180 http://dx.doi.org/10.1186/s12880-018-0251-y |
Ejemplares similares
-
A review on deep learning MRI reconstruction without fully sampled k-space
por: Zeng, Gushan, et al.
Publicado: (2021) -
Sparse-View CT Reconstruction Based on a Hybrid Domain Model with Multi-Level Wavelet Transform
por: Bai, Jielin, et al.
Publicado: (2022) -
Double Fault Detection of Cone-Shaped Redundant IMUs Using Wavelet Transformation and EPSA
por: Lee, Wonhee, et al.
Publicado: (2014) -
Intelligent Extraction of Salient Feature From Electroencephalogram Using Redundant Discrete Wavelet Transform
por: Wang, Xian-Yu, et al.
Publicado: (2022) -
A View Transformation Model Based on Sparse and Redundant Representation for Human Gait Recognition
por: Ghebleh, Abbas, et al.
Publicado: (2020)