Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging.
Christopher M. SandinoJoseph Y. ChengFeiyu ChenMorteza MardaniJohn M. PaulyShreyas S. VasanawalaPublished in: IEEE Signal Process. Mag. (2020)
Keyphrases
- clinical practice
- magnetic resonance imaging
- compressed sensing
- medical images
- medical imaging
- neural network
- image reconstruction
- mri data
- magnetic resonance images
- random projections
- image registration
- x ray
- natural images
- pattern recognition
- anatomical structures
- signal processing
- ct images
- imaging modalities
- sparse representation
- computed tomography
- mr images
- image processing
- image analysis
- medical data
- remote sensing
- clinical setting
- magnetic resonance
- image segmentation
- clinical trials
- diffusion tensor images
- multiscale
- active learning
- object recognition