Adaptive Image Sampling Using Deep Learning and Its Application on X-Ray Fluorescence Image Reconstruction.
Qiqin DaiHenry ChoppEmeline PouyetOliver CossairtMarc WaltonAggelos K. KatsaggelosPublished in: IEEE Trans. Multim. (2020)
Keyphrases
- x ray
- image reconstruction
- sparsely sampled
- filtered back projection
- projection images
- deep learning
- reconstruction method
- cone beam ct
- computer tomography
- cone beam
- image analysis
- reconstruction process
- intraoperative
- ct scans
- computed tomography
- medical imaging
- image data
- multiscale
- back projection
- radon transform
- super resolution
- three dimensional
- input image
- test images
- image segmentation
- image features
- maximum a posteriori
- magnetic resonance images
- segmentation method
- machine learning
- image guided
- contrast enhancement
- region of interest
- medical images
- image processing