MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques.
Dimitris A. KarrasMartin ReczkoBasil G. MertziosDanielle Graveron-DemillyDirk van OrmondtPublished in: IJCNN (1) (2000)
Keyphrases
- sparsely sampled
- multilayer perceptron
- image reconstruction
- inverse problems
- cardiac imaging
- neural network
- artificial neural networks
- reconstructed image
- radial basis function
- compressed sensing
- super resolution
- mr images
- magnetic resonance
- radon transform
- neural network model
- computed tomography
- emission computed tomography
- back propagation
- reconstruction method
- medical images
- image registration
- magnetic resonance images
- emission tomography
- tomographic reconstruction
- positron emission tomography
- respiratory motion
- machine learning
- image reconstruction algorithms
- learning algorithm