Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction.
Jiulong LiuAngelica I. Avilés-RiveroHui JiCarola-Bibiane SchönliebPublished in: CoRR (2019)
Keyphrases
- image reconstruction
- shape prior
- reconstructed image
- reconstruction process
- compressed sensing
- graph cuts
- level set
- shape model
- deformable models
- active contours
- reconstruction method
- tomographic reconstruction
- emission tomography
- image registration
- image segmentation
- super resolution
- segmentation method
- computed tomography
- radon transform
- signal reconstruction
- inverse problems
- maximum a posteriori
- limited angle
- global optimization
- prior knowledge
- segmentation algorithm
- image reconstruction algorithms
- positron emission tomography
- user interaction
- energy function
- medical imaging
- statistical models
- statistical shape model
- sparsely sampled
- bayesian framework
- deformation field
- prior information
- respiratory motion
- computer vision
- markov random field
- input image