Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.
Chen QinJo SchlemperJose CaballeroAnthony N. PriceJoseph V. HajnalDaniel RueckertPublished in: IEEE Trans. Medical Imaging (2019)
Keyphrases
- image reconstruction
- recurrent neural networks
- echo state networks
- reconstructed image
- super resolution
- compressed sensing
- neural network
- emission computed tomography
- feed forward
- computed tomography
- maximum a posteriori
- tomographic reconstruction
- reconstruction method
- inverse problems
- reservoir computing
- cardiac imaging
- image reconstruction algorithms
- recurrent networks
- neural model
- radon transform
- emission tomography
- sparsely sampled
- medical images
- positron emission tomography
- computer vision
- three dimensional
- mr images
- artificial neural networks
- high resolution
- image data
- machine learning