Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction.
Qiqin DaiHenry ChoppEmeline PouyetOliver CossairtMarc WaltonAggelos K. KatsaggelosPublished in: CoRR (2018)
Keyphrases
- image reconstruction
- x ray
- sparsely sampled
- deep learning
- filtered back projection
- reconstruction method
- projection images
- cone beam ct
- computer tomography
- cone beam
- reconstruction process
- image analysis
- ct scans
- image data
- computed tomography
- input image
- image features
- back projection
- intraoperative
- maximum a posteriori
- multiscale
- medical imaging
- radon transform
- three dimensional
- segmentation method
- energy function
- super resolution
- image segmentation
- test images
- pre operative
- low resolution
- multi view
- motion estimation
- high resolution