Cargando…
Non-local diffusion-weighted image super-resolution using collaborative joint information
Due to the clinical durable scanning time and other physical constraints, the spatial resolution of diffusion-weighted magnetic resonance imaging (DWI) is highly limited. Using a post-processing method to improve the resolution of DWI holds the potential to improve the investigation of smaller white...
Autores principales: | Yang, Zhipeng, He, Peiyu, Zhou, Jiliu, Wu, Xi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5769290/ https://www.ncbi.nlm.nih.gov/pubmed/29387188 http://dx.doi.org/10.3892/etm.2017.5430 |
Ejemplares similares
-
Diffusion-Weighted Images Superresolution Using High-Order SVD
por: Wu, Xi, et al.
Publicado: (2016) -
Fusing multi-scale information in convolution network for MR image super-resolution reconstruction
por: Liu, Chang, et al.
Publicado: (2018) -
Fast Super-Resolution Imaging with Ultra-High Labeling Density Achieved by Joint Tagging Super-Resolution Optical Fluctuation Imaging
por: Zeng, Zhiping, et al.
Publicado: (2015) -
Diffusion Weighted Imaging Super-Resolution Algorithm for Highly Sparse Raw Data Sequences
por: Malczewski, Krzysztof
Publicado: (2023) -
Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity
por: Zheng, Hong, et al.
Publicado: (2017)