Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data.
Wenjun XiaChuang NiuWenxiang CongGe WangPublished in: CoRR (2023)
Keyphrases
- incomplete data
- cone beam ct
- denoising
- probabilistic model
- bayesian networks
- reconstruction method
- projection images
- image reconstruction
- cone beam
- x ray
- computed tomography
- image denoising
- missing data
- image guided
- noisy images
- small animal
- noise level
- missing values
- radon transform
- natural images
- image processing
- ct images
- em algorithm
- incomplete data sets
- intraoperative
- three dimensional
- surface reconstruction
- expectation maximization
- reconstruction process
- ct scans
- super resolution
- medical images
- clinical data
- tomographic reconstruction
- input data
- high resolution
- pattern recognition