Cargando…
Compressed sensing MRI: a review from signal processing perspective
Magnetic resonance imaging (MRI) is an inherently slow imaging modality, since it acquires multi-dimensional k-space data through 1-D free induction decay or echo signals. This often limits the use of MRI, especially for high resolution or dynamic imaging. Accordingly, many investigators has develop...
Autor principal: | Ye, Jong Chul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412677/ https://www.ncbi.nlm.nih.gov/pubmed/32903346 http://dx.doi.org/10.1186/s42490-019-0006-z |
Ejemplares similares
-
Memristor-Based Signal Processing for Compressed Sensing
por: Wang, Rui, et al.
Publicado: (2023) -
Trends in Compressive Sensing for EEG Signal Processing Applications
por: Gurve, Dharmendra, et al.
Publicado: (2020) -
Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T
por: Han, Paul Kyu, et al.
Publicado: (2015) -
Video compressive sensing for dynamic MRI
por: Shi, Jianing V, et al.
Publicado: (2012) -
Energy Preserved Sampling for Compressed Sensing MRI
por: Zhang, Yudong, et al.
Publicado: (2014)