Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging.
Taejoon EoHyungseob ShinTaeseong KimYohan JunDosik HwangPublished in: MICCAI (1) (2018)
Keyphrases
- fourier transform
- magnetic resonance imaging
- deep learning
- medical images
- frequency domain
- unsupervised learning
- medical imaging
- signal processing
- machine learning
- radon transform
- computer vision
- weakly supervised
- phase unwrapping
- image reconstruction
- multiscale
- image sequences
- information extraction
- mental models
- three dimensional