Improved Imaging Resolution of Electrical Impedance Tomography Using Artificial Neural Networks for Image Reconstruction.
Shu-Wei HuangHao-Min ChengShien-Fong LinPublished in: EMBC (2019)
Keyphrases
- image reconstruction
- using artificial neural networks
- image reconstruction algorithms
- limited angle
- high resolution
- super resolution
- positron emission tomography
- reconstructed image
- artificial neural networks
- poisson noise
- tomographic reconstruction
- low resolution
- computed tomography
- compressed sensing
- emission computed tomography
- reconstruction method
- image processing
- spatial resolution
- inverse problems
- radon transform
- cone beam ct
- cardiac imaging
- band limited
- signal reconstruction
- cone beam
- emission tomography
- synthetic aperture radar
- neural network model
- image analysis
- sparsely sampled
- artifact free
- medical imaging
- computational complexity
- computer vision