An End-to-End Recurrent Neural Network for Radial MR Image Reconstruction.
Changheun OhJun-Young ChungYeji HanPublished in: Sensors (2022)
Keyphrases
- end to end
- image reconstruction
- recurrent neural networks
- cardiac imaging
- reconstructed image
- magnetic resonance
- neural network
- mr images
- compressed sensing
- super resolution
- reconstruction method
- neural model
- feed forward
- emission computed tomography
- artificial neural networks
- image registration
- recurrent networks
- medical images
- radon transform
- zernike moments
- computed tomography
- congestion control
- emission tomography
- machine learning
- image data
- image reconstruction algorithms
- reconstruction process
- image processing
- sparsely sampled
- motion correction
- partial volume
- medical imaging
- back propagation