Super-Resolution Magnetic Resonance Imaging using Segmented Signals in Phase-Scrambling Fourier Transform Imaging and Deep Learning.
Kazuki YamatoSatoshi ItoPublished in: ICIP (2022)
Keyphrases
- fourier transform
- super resolution
- magnetic resonance imaging
- deep learning
- high resolution
- signal processing
- phase unwrapping
- medical imaging
- low resolution
- medical images
- image reconstruction
- image processing
- frequency domain
- unsupervised learning
- machine learning
- single image
- spatial resolution
- remote sensing
- high quality
- x ray
- image patches
- pattern recognition
- motion estimation
- image analysis
- image segmentation
- motion blur
- computer vision
- face images
- higher order
- image registration
- field of view
- three dimensional
- radon transform