Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations.
Mareike ThiesFabian WagnerMingxuan GuLukas FolleLina FelsnerAndreas K. MaierPublished in: CoRR (2022)
Keyphrases
- ordinary differential equations
- cone beam ct
- reconstruction method
- projection images
- mathematical modeling
- image reconstruction
- cone beam
- x ray
- differential equations
- image guided
- computed tomography
- dynamic systems
- numerical solution
- ct images
- mathematical models
- noise level
- biological systems
- neural network
- intraoperative
- partial differential equations
- medical imaging
- reconstruction process
- three dimensional
- gene regulatory networks
- high resolution
- radon transform
- surface reconstruction
- tomographic reconstruction
- prostate cancer
- computer tomography
- graph cuts